retail industry

Selecting the right ecommerce platform has become more than choosing where to launch an online store — for enterprise B2B retailers, this decision will significantly impact customer experiences, sales operations, order management, scalability and overall long-term growth. Using the wrong platform could lead to integration problems, limited customization options, and higher operational costs as businesses scale. While evaluating Salesforce Commerce Cloud vs Shopify Plus, it’s better to consider several factors beyond just features. In short, each platform is designed to suit different business models and work better within different tech ecosystems. This guide will compare the key capabilities between Commerce Cloud vs Shopify Plus — from customization and AI to integrations, and more — to help you invest with confidence in the right tech solution for your business’s future in 2026. Salesforce Commerce Cloud Enterprise B2B & complex operations VS Shopify Plus Fast-growing brands, quicker deployment Salesforce Commerce Cloud vs Shopify Plus at a Glance Feature Salesforce Commerce Cloud Shopify Plus Best Suited for Complex, high-volume B2B/B2C for the Enterprise Fast Growing Brands & Mid to Large Enterprises B2B Capabilities Industry-Leading Built-In Native B2B Commerce Robust B2B functionalities with continuous improvement Customization Large access to all data through APIs, headless, and Salesforce Ecosystem Flexible but still operating inside Shopify’s platform guidelines CRM Integration Native Salesforce CRM integration Third-party Salesforce connectors available AI Capabilities Salesforce Einstein AI and Agentforce Shopify Magic and Sidekick Implementation Higher implementation effort with enterprise-level customization Faster deployments and simpler implementation The comparison between Shopify vs Commerce Cloud emphasizes simplicity or enterprise extensibility; the right choice ultimately depends on the complexity of business operations rather than market share. A Head-to-Head Comparison Between Commerce Cloud vs Shopify Plus 01 B2B Commerce Capabilities B2B commerce goes beyond displaying products on the web — enterprise buyers need personalized pricing options, negotiated contracts, company accounts with specific approval of workflows, purchase orders and self-service portals. This is where Salesforce Commerce Cloud B2B stands apart. It enables businesses to: Create account-specific catalogs and pricing Set contract pricing Have multiple buyers under one organization Manage quotes Plus, it delivers personalized buying experiences while integrating seamlessly with other Salesforce tools — like the Sales Cloud. Shopify Plus has significantly expanded in terms of B2B functionality, and some of its capabilities are company accounts, customer-specific pricing, payment terms, and wholesale stores. This is beneficial for manufacturers, distributors, and wholesalers. Verdict For enterprise B2B selling, Salesforce Commerce Cloud offers more advanced capabilities. 02 Customization and Flexibility Every business operates differently, so its ecommerce platform should adapt to its unique processes, instead of forcing operational compromises. With its extensive built-in application programming interfaces (APIs), Salesforce Commerce Cloud offers extensive personalization capabilities. This means that companies can deliver customized checkout experiences, build proprietary systems, and create their own customer experiences. Shopify Plus also offers API-based development and headless commerce through their toolkits and hosting. Although it does have a lot of flexibility in customization, businesses still operate within Shopify’s managed infrastructure and platform conventions. Verdict Shopify Plus offers easier customization, whereas Commerce Cloud gives more control for advanced implementations. 03 Salesforce Ecosystem and Integrations Ecosystem connectivity is one of the greatest distinguishing features in the Commerce Cloud vs Shopify Plus debate. Salesforce Commerce Cloud integrates natively with: Sales Cloud Service Cloud Marketing Cloud Data Cloud Agentforce Einstein AI This complete ecosystem allows sales, customer support, marketing, and commerce teams to function using the same customer view. Organizations benefit from unified customer data, custom interactions, and improved processes by avoiding dependence on third-party integrations. Shopify Plus features thousands of applications through its own app store and integrates with Salesforce using middleware (or integration platforms). This solution is compatible with plenty of companies, but it may introduce additional difficulties in terms of managing integrations over time. Verdict Businesses that are already leveraging Salesforce products will benefit from a more connected and efficient ecosystem with Commerce Cloud. 04 Scalability and Global Commerce Enterprise retailers usually operate in different countries, brands, as well as sales channels. Salesforce Commerce Cloud is designed to support global commerce by offering capabilities, like: Multiple Stores Multilingual Presence Multi-Currency Transactions Local Pricing Enterprise Catalog Management With Shopify Markets, businesses can expand into international markets. It benefits them by providing localized storefronts, multiple currencies, and region-based experiences. The difference lies in operational complexity. The Salesforce Commerce Cloud platform is best suited for businesses managing complicated workflows across a wide range of geographical areas and regions. Verdict Both are scalable, but Commerce Cloud is best suited for more complex global enterprise operations. 05 AI and Personalization Salesforce Commerce Cloud’s Einstein AI provides smart product recommendations, predictive merchandising, personalized search, and customer insights. With Agentforce expanding Salesforce’s AI ecosystem, businesses automate customer interactions and provide more personalized shopping experiences. Shopify Plus enables merchants to generate content and manage their store through the combination of Shopify Magic and Sidekick. These capabilities continue to evolve and help merchants boost productivity. Verdict Even though both platforms make significant investments in the field of AI, Salesforce focuses more on enterprise-wide customer intelligence beyond ecommerce into sales, marketing, and service operations. Not sure which platform fits your stack? We’ll assess your B2B commerce needs and map out whether Commerce Cloud or Shopify Plus fits your operations. Talk to a Specialist Which Platform Is Better for Enterprise B2B Retailers Pick Shopify Plus if you: Need faster implementation Have a small IT team implementing the platform Want to deal with a more straightforward solution Need basic B2B e-commerce features at this stage Don’t want to invest too much effort in implementation Pick Salesforce Commerce Cloud if you: Manage complex B2B sales Already use Salesforce products Want a highly tailored solution Need advanced customization Need AI-driven personalization Organizations looking for the best ecommerce platform B2B must rely on what specific operational needs companies have, and not on their popularity. Final Verdict As enterprise commerce continues to evolve in 2026, choosing between Salesforce Commerce Cloud and Shopify Plus isn’t just about understanding which platform has better qualities — it’s about finding out which one aligns perfectly with your long-term growth strategy. Choose Shopify Plus, if you want quick deployment, ease of management, and lower implementation complexity. Or else, if your company is inclined towards B2B trading and complex customer experiences, then Salesforce Commerce Cloud is the best choice for long-term investment. :root { --accent: #1a73e8; --accent-light: #e8f0fe; --shopify: #1f2937; --shopify-light: #eceef1; --text-main: #1f1f1f; --text-body: #2a2a2a; --text-muted: #6b7280; --tbl-border: #dde3ec; --tbl-row-alt: #f7f9fc; --bg-highlight: #f3f7ff; --bg-light: #f8f9fa; --white: #ffffff; } .blog-body { font-size: 17px; line-height: 1.78; color: var(--text-body); width: 100%; } .blog-body p { margin: 0 0 20px; } .blog-body a { color: var(--accent); text-decoration: none; } .blog-body a:hover { text-decoration: underline; } .blog-body h2 { font-size: 24px; font-weight: 700; color: var(--text-main); margin: 48px 0 14px; line-height: 1.3; } .blog-body strong { font-weight: 700; color: var(--text-main); } .blog-body ul, .blog-body ol { margin: 0 0 20px; padding-left: 22px; } .blog-body li { margin-bottom: 8px; line-height: 1.72; } /* ── Matchup Hero ── */ .matchup-hero { display: flex; 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padding: 8px 0; } } /* ── Table ── */ .tbl-wrap { overflow-x: auto; margin: 20px 0 28px; border: 1px solid var(--tbl-border); border-radius: 6px; box-shadow: 0 1px 4px rgba(0,0,0,0.05); } .af-blog-table { width: 100%; border-collapse: collapse; font-size: 15.5px; background: var(--white); } .af-blog-table thead th { padding: 13px 18px; text-align: left; font-weight: 700; font-size: 13px; text-transform: uppercase; letter-spacing: 0.04em; background: var(--bg-highlight); color: var(--accent); border-bottom: 1px solid var(--tbl-border); } .af-blog-table tbody tr { border-bottom: 1px solid var(--tbl-border); } .af-blog-table tbody tr:last-child { border-bottom: none; } .af-blog-table tbody tr:nth-child(even) td { background: var(--tbl-row-alt); } .af-blog-table tbody td { padding: 13px 18px; vertical-align: top; color: var(--text-body); line-height: 1.6; } .af-blog-table tbody td:first-child { font-weight: 600; color: var(--accent); } /* ── Matchup Table (branded variant for the "at a glance" comparison) ── */ .tbl-wrap--matchup { box-shadow: 0 4px 16px rgba(15, 35, 64, 0.08); 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} .af-blog-table--matchup tbody tr:nth-child(even) td:not(.td-feature) { background: var(--tbl-row-alt); } .af-blog-table--matchup tbody td:nth-child(2) { border-left: 3px solid var(--accent-light); } .af-blog-table--matchup tbody td:nth-child(3) { border-left: 3px solid var(--shopify-light); } /* ── Round Cards (head-to-head) ── */ .round-card { border: 1px solid var(--tbl-border); border-radius: 10px; overflow: hidden; margin: 0 0 20px; } .round-header { display: flex; align-items: center; gap: 14px; background: var(--bg-highlight); padding: 15px 22px; border-bottom: 1px solid var(--tbl-border); } .round-num { font-size: 11px; font-weight: 800; letter-spacing: 0.06em; color: var(--white); background: var(--accent); border-radius: 4px; padding: 4px 9px; flex-shrink: 0; } .round-title { font-size: 17px; font-weight: 700; color: var(--text-main); } .round-body { padding: 20px 22px 22px; background: var(--white); } .round-body p { margin-bottom: 14px; } .round-body ul { margin-bottom: 14px; } .round-body p:last-of-type { margin-bottom: 14px; } /* ── Chip Row (reused) ── */ .chip-row { display: flex; flex-wrap: wrap; gap: 9px; margin: 4px 0 16px; } .tag-chip { display: inline-block; background: var(--accent-light); color: var(--accent); font-size: 14px; font-weight: 600; padding: 7px 14px; border-radius: 20px; border: 1px solid #c8dcfa; } /* ── Verdict Tag ── */ .verdict-tag { display: flex; align-items: flex-start; gap: 12px; border-radius: 8px; padding: 14px 16px; margin-top: 4px; } .verdict-tag p { margin: 0 !important; font-size: 15px; line-height: 1.6; color: var(--text-main); } .verdict-label { flex-shrink: 0; font-size: 11px; font-weight: 800; text-transform: uppercase; letter-spacing: 0.06em; padding: 4px 10px; border-radius: 20px; color: var(--white); margin-top: 1px; } .verdict-tag--sf { background: var(--accent-light); } .verdict-tag--sf .verdict-label { background: var(--accent); } .verdict-tag--sp { background: var(--shopify-light); } .verdict-tag--sp .verdict-label { background: var(--shopify); } .verdict-tag--tie { background: var(--bg-light); } .verdict-tag--tie .verdict-label { background: var(--text-muted); } /* ── CTA Banner ── */ .cta-banner { display: flex; align-items: center; justify-content: space-between; gap: 20px; flex-wrap: wrap; background: linear-gradient(135deg, #1a73e8, #1558b0); border-radius: 14px; padding: 26px 28px; margin: 28px 0 36px; } .cta-banner-title { font-size: 19px; font-weight: 800; color: var(--white); margin-bottom: 6px; } .cta-banner-text p { margin: 0 !important; font-size: 14.5px; color: rgba(255,255,255,0.85); line-height: 1.55; max-width: 480px; } .cta-banner-btn { flex-shrink: 0; background: var(--white); color: var(--accent) !important; font-weight: 700; font-size: 14.5px; padding: 12px 22px; border-radius: 8px; white-space: nowrap; } .cta-banner-btn:hover { text-decoration: none !important; opacity: 0.92; } /* ── Decision Grid ── */ .decision-grid { display: grid; grid-template-columns: 1fr 1fr; gap: 16px; margin: 20px 0 24px; } @media (max-width: 620px) { .decision-grid { grid-template-columns: 1fr; } } .decision-card { border-radius: 10px; padding: 20px 22px 18px; border: 1px solid var(--tbl-border); } .decision-card--sp { background: var(--shopify-light); border-top: 3px solid var(--shopify); } .decision-card--sf { background: var(--accent-light); border-top: 3px solid var(--accent); } .decision-title { font-size: 16px; font-weight: 800; color: var(--text-main); margin-bottom: 12px; } .decision-list { list-style: none; padding-left: 0 !important; margin: 0 !important; } .decision-list li { position: relative; padding-left: 24px; font-size: 14.5px; line-height: 1.6; margin-bottom: 9px !important; color: var(--text-body); } .decision-list li:last-child { margin-bottom: 0 !important; } .decision-card--sp .decision-list li::before { content: "✓"; position: absolute; left: 0; color: var(--shopify); font-weight: 800; } .decision-card--sf .decision-list li::before { content: "✓"; position: absolute; left: 0; color: var(--accent); font-weight: 800; } /* ── Pull ── */ .pull { background: var(--bg-highlight); border-left: 4px solid var(--accent); padding: 16px 20px; font-size: 16.5px; line-height: 1.75; border-radius: 0 6px 6px 0; margin: 28px 0; color: var(--text-main); }

Retail teams have spent years customizing technology per customer journeys. Chatbots were added to reduce support volumes. Recommendation engines were introduced to improve conversion rates. Workflow automation handled repetitive tasks behind the scenes. The result was often a collection of disconnected systems rather than a coordinated experience. Agentforce represents a different shift. Instead of automating individual tasks, AI agents can execute entire workflows across commerce, service, and operations. More importantly, retailers have moved beyond experimentation. Customer interactions, order inquiries and operational support, everything is now being directly handled well. So, the question arises: what does Agentforce look like in practice for retailers? Why Agentforce Retail Use Cases Are Gaining Momentum in Modern Commerce The retail industry is dynamic, and every encounter in it is a two-way street. The consumers expect the brand to understand their needs, and the retailers are trying to provide a seamless experience. Every single purchase can result in updates of inventory, processing the order, making the deliveries, informing the customers, and so forth. Agentforce changes that model by introducing AI agents that can retrieve information, reason across systems, and take action within defined business rules. That capability is creating new opportunities across commerce, service, and operations. Below are six examples of Agentforce retail use cases and how retailers are already putting AI agents to work in production environments. 1 Resolving Customer Service Requests Without Human Escalation Retail business support centers encounter an almost similar pattern of service requests; these can be related to shipment information, delivery dates, returns, refunds, and so on. The issue is not complexity. It is a volume. AI agents can be used efficiently to deal in volumes and resolve every customer request with personalized responses. Instead of waiting for a service representative, customers receive answers immediately. This is one of the most visible examples of Salesforce retail customer service automation in practice. It also encourages customers to rely on self-service mode of query resolution through Agentforce case deflection of retail services, leading to reduced human involvement in a number of cases. While most of the routine tasks already, the remaining that need human intervention are passed down. 2 Guiding Shoppers Through Complex Purchase Decisions Most recommendation engines are reactive; a customer looking for an item online starts getting similar product recommendations. This is an interaction initiated by AI to understand the buyer’s intent and interests. Similarly, a person looking for a study desk has concerns about the material used, pest resistance, quality and space required to fit, which can be easily answered by an AI agent to make purchase decisions easy. It facilitates Salesforce AI personalization in retail by merging the preferences, browsing activities, purchase behavior, and product information of consumers into one interaction, making this an engagement disguised as consultation. Customers kind of run into the same deal when AI agents help them sort through all that huge catalog stuff and choices on ecommerce websites, by spotting interest signals , plus intent. If a business taps the proper Salesforce AI Services then it can offer really tailored recommendations , boost customer engagement, and make shopping feel smooth , so conversions and loyalty get a push. 3 Streamlining Order Management Across Systems Order management rarely ends when a purchase is completed. Customers change shipping addresses. Delivery schedules need adjustments. Inventory availability changes unexpectedly. Returns and exchanges introduce additional complexity. They required multiple processes before any desired changes could take place. The AI agent retail order management Salesforce capabilities allow the retailer to coordinate order details, eligibility rules, actions to be taken, and even communicate with the customer during the process. As retailers are making efforts to reduce friction after the sale, it is becoming almost as important as the selling experience itself. 4 Automating E-Commerce Operations Behind the Scenes Some of the most impactful use cases are invisible to customers. Retail teams manage thousands of operational activities that keep digital storefronts running smoothly. Product information needs updating, promotional campaigns require monitoring, inventory needs to be checked on a daily basis to keep orders in check. Much of this work follows repeatable patterns that can be easily automated by Salesforce Agentforce ecommerce automation. The AI agents can analyze circumstances, identify issues, and carry out actions based on business logic. With this, trivial tasks are automated, and strategic decision-making is left for the retail teams to carry out. 5 Empowering Employees with Real-Time Assistance Retail AI solutions are often stated from customer experiences, yet there are employee use cases that offer similar benefits. In order to assist a customer, retail workers like floor staff or customer care agents need access to more information than just one database would give them. Searching for answers slows down the interaction and creates unnecessary friction. Relevant information can be presented to the employee by the AI agent during the interaction itself, making accessibility easy and the entire process extremely quick. While all other technologies attempt to replicate human thinking and judgment, AI agent operates on the premise of making decisions. 6 Scaling Customer Engagement During Demand Spikes The operations of retail enterprises are never uniform throughout the year. Promotions, product launches, and flash sales, among other things, result in spikes in interaction traffic in very short durations. This seasonal demand growth highlights underlying operational gaps that have been neglected for long. Here, AI agents can assist in handling such surges at activity levels. This is one reason many retailers are now evaluating Agentforce Commerce Cloud 2026 initiatives as part of their long-term commerce strategy. It helps achieve efficiency through automation and also builds an operational model that evolves with growing needs of customer engagement. Conclusion For years, retail technology has focused on gathering information from every customer interaction. The next step should be doing more with the information and making it useful through actions. What makes Agentforce compelling isn’t the ability to automate mundane tasks, it’s the autonomy to carry any process ahead without human initiation. Agentforce integrates service, commerce, operations, and context into one through AI agents. Retail businesses that are actively working to remove friction for smoother experiences will have an edge over those simply focusing on implementing AI platforms in their processes. :root { --accent: #1a73e8; --accent-light: #e8f0fe; --text-main: #1f1f1f; --text-body: #2a2a2a; --text-muted: #6b7280; --rule: #e5e7eb; --tbl-border: #dde3ec; --bg-highlight: #f3f7ff; --bg-light: #f8f9fa; --white: #ffffff; } /* ── Body ── */ .blog-body { font-size: 17px; line-height: 1.78; color: var(--text-body); width: 100%; } .blog-body p { margin: 0 0 20px 0; } .blog-body h2 { font-size: 24px; font-weight: 700; color: var(--text-main); margin: 48px 0 14px; line-height: 1.3; } .blog-body strong { font-weight: 700; color: var(--text-main); } .blog-body ul, .blog-body ol { margin: 0 0 20px 0; padding-left: 22px; } .blog-body ul li, .blog-body ol li { margin-bottom: 8px; line-height: 1.72; } /* ── Workflow Timeline ── */ .workflow-list { margin: 8px 0 36px; display: flex; flex-direction: column; gap: 0; } .workflow-item { display: flex; gap: 20px; align-items: flex-start; } .workflow-marker { display: flex; flex-direction: column; align-items: center; flex-shrink: 0; padding-top: 2px; } .workflow-num { width: 36px; height: 36px; border-radius: 50%; background: var(--accent); color: var(--white); font-size: 15px; font-weight: 800; display: flex; align-items: center; justify-content: center; flex-shrink: 0; } .workflow-line { width: 2px; flex: 1; min-height: 32px; background: var(--tbl-border); margin: 6px 0; } .workflow-line-hidden { width: 2px; min-height: 0; } .workflow-content { padding-bottom: 32px; flex: 1; } .workflow-title { font-size: 18px; font-weight: 700; color: var(--text-main); margin-bottom: 10px; padding-top: 6px; } .workflow-content p { margin: 0 0 12px 0 !important; font-size: 16px; line-height: 1.75; color: var(--text-body); } .workflow-content p:last-child { margin-bottom: 0 !important; } /* ── Pull ── */ .pull { background: var(--bg-highlight); border-left: 4px solid var(--accent); padding: 16px 20px; font-size: 16.5px; line-height: 1.75; border-radius: 0 6px 6px 0; margin: 28px 0; color: var(--text-main); }

Migrating From Legacy CRM to Salesforce is one of those projects that sounds simple on paper, and then, halfway through, everyone realizes it touches almost every part of the retail business. Customer data, orders, loyalty, stock levels, service cases—it all gets swept up in the move. Salesforce legacy system integration is a critical part of this process, ensuring existing applications, databases, and workflows continue to function seamlessly while the transition takes place. Done right, the result is cleaner data, better personalization, and a platform that can actually grow with you. Done badly… well, that’s when carts drop, promotions misfire, and support teams scramble. According to recent CRM studies, failure rates for CRM initiatives, often tied to poor migration planning, sit somewhere between 47% and 70%. That’s not a rounding error – that’s a warning sign. So, we treat migration as a strategic initiative, not “just an IT task.” Why does data migration from legacy systems to Salesforce feel different in retail? Retail and e-commerce live on volume and speed. We’re not just moving a static list of contacts; we’re migrating years of transactions, channel preferences, loyalty points, returns, in-store vs online behavior, and sometimes even custom coupon logic. Data migration from legacy systems to Salesforce in this context means stitching together multiple systems: old CRMs, POS, ERP, email tools, maybe a home-grown loyalty app. A few realities hit fast: The same customer may exist five times—different stores, email addresses, or guest checkout IDs. Product catalogs are huge, and historic SKUs might not map cleanly to your new Salesforce data model. Data quality is usually worse than anyone wants to admit – duplicates, missing opt-in flags, inconsistent country codes, the works. You know how it goes: everyone assumes “IT has it under control,” until someone notices that VIP customers lost their loyalty balances. That’s why retail migrations need more business involvement than most teams plan for. Working with experienced Salesforce consulting partners helps ensure business teams stay involved throughout the migration process, reducing the risk of critical customer data, loyalty programs, and sales operations being overlooked. The hidden risks: what can actually go wrong Here’s the thing: the technology itself is rarely the biggest risk. The real trouble usually comes from rushed planning, messy data, and underestimating how much retail workflows rely on that data. Common risk buckets: Data loss or corruption Broken mappings between legacy objects and Salesforce objects lead to missing histories or wrong relationships (e.g., orders not linked to the right customer). If you skip robust validation, you can end up with thousands of “orphaned” orders and no reliable customer lifetime value. Business disruption and downtime In retail, a few hours of downtime around a campaign or seasonal push can be very expensive. Incremental or parallel migrations are strongly recommended in the 2026 guidance to avoid major disruption. If integrations with payment gateways, e-commerce platforms, or inventory are not coordinated, teams fall back to spreadsheets and manual work. Compliance and security issues Moving customer and payment-related data without proper masking, encryption, or role controls can easily violate GDPR or PCI expectations. Logs and audit trails are often overlooked during migration, but they matter a lot when something goes wrong. Industry research keeps repeating the same pattern: migrations fail less because of Salesforce itself, and more because of weak strategy, ignored data quality, and poor change management. Kind of makes you wonder why more teams still try to “just export/import and see.” What Salesforce migration really costs (for retail and e-commerce) Costs vary, but there are some realistic ranges. Salesforce implementation guides for 2025–2026 put full implementations (including data migration) anywhere from roughly $15,000 on the very small side to $150,000+ for mid-sized businesses, and into the hundreds of thousands for large enterprises. Data migration is usually a significant chunk of that. For retailers and e-commerce brands, extra complexity (multiple channels, legacy POS, and large transaction histories) pushes the migration portion higher than in a simple B2B CRM setup. Typical cost drivers Cost Component What It Covers Typical Notes for Retail/Ecom Data discovery & assessment. System inventory, data profiling, scoping. More systems = more cost. Data cleansing & standardization. Deduplication, normalization, and archive decisions. Often underestimated by 30–40%. Tooling & automation. ETL tools, Data Loader scripting, and monitoring. Cost per record or per month. Execution & validation. Loads, dry runs, reconciliation, fix rounds. Multiple cycles for accuracy. Training & change management. User enablement, updated processes, and documentation. Retail floor teams need simple flows. A Salesforce data migration consultant or a specialist partner usually charges either a fixed project fee or a mix of fixed plus time and materials; broad industry ranges often fall between $90–$250 per hour, depending on region and expertise. For most retailers, this investment ends up cheaper than months of post-go-live cleanup and lost opportunities. And that’s just project cost. There’s also “soft cost”: lost productivity when teams stop trusting the CRM because “the data is wrong again.” DIY migration vs Expert Help To be fair, not every retailer needs a huge consulting engagement. But we have to be honest: the more systems and channels you have, the less a pure DIY approach makes sense. Quick comparison Approach Pros Cons Internal DIY. Lower cash outlay, more control. Higher risk, steep learning curve, more rework. Partner-led with internal support. Balanced, knowledge transfer, structured methodology. Higher upfront cost, needs tight collaboration. Fully outsourced. Fastest execution, strong governance. Less internal learning, risk of over-customization. Designing a solid data migration strategy A robust Salesforce data migration strategy borrows a lot from general CRM migration principles but adds a retail twist: prioritize flows that touch customers and revenue first. Studies and best-practice guides keep stressing a phased, test-heavy approach instead of a single big-bang cutover. A simple 7-step framework Clarify business outcomes Are you trying to improve personalization, unify loyalty data, clean reporting, or all of the above? These goals drive what to migrate and what to archive. Inventory systems and data List every source: legacy CRM, POS, e-commerce platform, marketing automation, spreadsheets. Document data owners for each domain. Clean first, move second Industry guides are blunt: migrating dirty data is one of the top failure reasons. Deduplicate customers, normalize addresses, fix opt-in flags, and decide what historic order depth is actually needed. Model and map carefully Map legacy entities to Salesforce Accounts, Contacts, Opportunities, Orders, custom objects, etc. Handle many-to-many relationships (customers sharing addresses, household segments, corporate accounts). Iterate through sandboxes Best-practice recommendations for the Data migration process in Salesforce emphasize using sandboxes and staged migrations—test loads, validate data, adjust mappings. Go live in phases Start with a subset—maybe one brand, region, or channel—to reduce impact. Use parallel runs where legacy and Salesforce operate side-by-side for a short period. Validate, monitor, and refine Compare reports from old and new systems for a defined period. Adjust automations and flows as real users interact with the data. Anyway, the main idea is: smaller, safer steps beat one heroic weekend “all-in” cutover almost every time. Retail-specific best practices (what actually helps) Guides on Salesforce retail implementations keep returning to a few proven themes. Prioritize customer-facing data first. Profiles, preferences, loyalty balances, email/opt-in status, order history. This is the data your marketing and service teams live in every day. Align with campaigns and seasons. Plan cutovers away from peak sales events. Retail migrations scheduled near major promotions increase business risk significantly. Handle product and inventory with care. Historic SKUs that no longer exist may still be referenced by old orders. Map discontinued items clearly so that analytics remains consistent. Treat metadata and automations as part of the move. 2026 migration guidance stresses combining metadata and data migration—flows, validation rules, and permission sets influence how data behaves after the move. Keep users in the loop. CRM failure analyses continuously mention poor adoption and change management as top reasons for project pain. In retail, that means involving store managers, e-commerce leads, and support teams early, not after everything is “done.” You wonder why more companies still leave user training to the final week. E-commerce nuances: carts, channels, and speed For online-heavy brands, Salesforce migration services for e-commerce focus heavily on real-time integrations and high-volume data flows—think abandoned carts, marketplace orders, and promotion engines. Some nuances that often trip teams up: Cart and session data Not all cart data needs to be moved, but segments related to recovery campaigns or personalization can be very valuable. Marketplace and multi-storefront data Orders from Amazon, marketplaces, or multi-store setups need standardized handling to avoid fragmented reporting. Latency expectations Customers expect updates (like order status) in minutes, not hours. Integration design around Salesforce becomes part of the migration strategy, not an afterthought. For omnichannel brands, connecting online orders with offline behavior in Salesforce is often where the real ROI appears—properly linked records enable better targeting and more accurate CLV analytics. Working with partners without losing control When we bring in Salesforce migration services for retail industry or broader Salesforce partners, the goal should be collaboration, not outsourcing your thinking. Industry best practices suggest: define internal data owners, clearly agree on quality thresholds, and insist on measurable checkpoints (like reconciliation reports, error rates, and user sign-off). A good partner will: Push for backups and rollback plans before any major loads. Use sandboxes and test cycles with real data, not just synthetic samples. Help you set up post-migration monitoring dashboards so you can see data quality trends over time. That way, you’re not dependent on them forever, but you also don’t reinvent the wheel on your first big migration. Bringing it all together Retail CRM projects are always a bit messy. That’s normal. What matters is having a structured, realistic plan for data migration from legacy systems to Salesforce, backed by clear business goals, careful data preparation, and a phased rollout that respects how fast retail moves. With the right mix of internal ownership and external expertise, the shift to Salesforce stops being just an IT milestone and becomes a foundation for better customer experiences and smarter decisions. It’s not about perfection – it’s about trustworthy data that your teams can actually use, every day, without wondering what might be missing.

At the peak of COVID-19, merchants were making decisions in haste to provide the products and services that customers needed. Today, when the world is far more at ease, these makeshift solutions are now intensifying as shoppers have a plethora of options driving expectations to an all new high. Additionally, their patience is very limited now. In fact, research data across over 2000 retailers suggests that 80% of shoppers are very likely to abandon them after three bad experiences. Merchants need deeper the insights into customer behaviour to scale up their business. Here are top 4 trends that have been observed across the world on how the retail landscape is changing. Trend 1: Shopping journeys get more complex During the 2 years of COVID, three types of digital channels grew their transaction share by almost 40%: brand websites, retailer websites and apps, and online marketplaces. This of course includes transactions through their apps as well. In the process, associated channels like delivery apps, social media, and messaging platforms have also become prominent players in the digital commerce eco system, with a growth of over 20%. As the range of shopping channels continues to expand, shopping journeys have got more and more complex. The purchasing journey has become fragmented and complex. It is imperative for brands and merchants to develop a one-on-one relationship with customers across platforms namely social media, messaging platforms, and video to stay relevant. Social media, influencers, and messaging apps have become hugely popular today for product discovery. For making a purchase, social media, digital wallets and email are the leading digital destinations. And when buyers need customer support, they mostly turn to chatbots and social media. Trend 2: The store goes digital Although transactions through brick-and-mortar stores decreased significantly during the pandemic, the physical store still plays an important role in the shopping journey. In fact, reports indicate that over 80% of the global merchandise sales happened at physical stores in 2020. The primary reasons shoppers prefer to visit a physical store are firstly, to touch and feel the product, secondly one gets immediate delivery of the merchandise and finally to avoid logistics costs. However, shoppers today are blurring the lines between digital and physical channels while they are in the store. Many shoppers today research about a product on the retailer’s app while still being in the sore before making a purchase. To compliment this trend, brands and retailers are connecting the in-store experience with an increasing number of digital touchpoints. The role of the store associate is growing as well. At the peak of COVID, store associates evolved from the routine scanning and bagging to becoming customer service reps, product recommenders, and brand influencers. And these roles are more than likely to stay, which makes the role of the store associate in the customer journey far more intriguing. Trend 3: The loyalty game has gone a few notches up Loyalty programs are continuously evolving based on shopper expectations. Although a points-based loyalty program is still the most preferred method today, data indicates that younger generations are seeking a more experience-based journey that establishes a deeper connection with the brand. Millennials today value exclusive access to limited products and richer experiences far more than ever when it comes to loyalty programs. Shoppers are also seeking rewards for their transactions. They are willing to take a further step such as downloading an app or writing an online review and sharing personal information like their birthday or phone number for a more personalized experience and loyalty benefits. Trend 4: Brands and Retailers and brands fast track unified shopping experiences Most customers expect brands and retailers to recognise their unique needs and expectations, but only a portion of them have the capability to turn data into personalized offerings in real time across channels and touchpoints. To address this customer expectation, and to address the challenges associated with delivering that expectation, retailers and brands are adopting a threefold approach: HIRING MORE DATA SCIENTISTS Retailers are actively working to hire more data scientists. And this trend is expected to grow further into 2023. This trend that brands and retailers have the opportunity to overhaul their loyalty programs to meet the rising customer expectations and their openness to share personal data. ADOPTING A UNIFIED ENGAGEMENT PLATFORM Many retailers and brands today are already in the planning stage for such a platform, which allows them to access and monetise customer data by engaging with them at a deeper level. UPGRADING POINT-OF-SALE TECHNOLOGY Going forward, the pint of sale (POS) will become a critical part of a unified customer engagement platform. In fact, new retailers are already adopting this approach and are moving to a cloud solution. The in-store digital experience is key for engaging with customers and driving sales. Here are some tips on now to enhance customer experience. Empower associates with the tools that drive sales As we mentioned before, store associates are adopting extended functional roles such as customer service, ecommerce, and social media experts to engage with shoppers. To be able to wear multiple hats successfully, store associates need access to customer data along with user friendly digital tools. This is where a CRM platform like Salesforce comes into play. Associates can access complete customer profile with information on purchase history, buying preferences, demographic data, customer satisfaction score, and more. To get associates up to speed quickly, Salesforce provides digital learning platforms like myTrailhead that bring associates up to speed on how to handle every aspect of digital and physical transactions. Brands and retailers can reskill associates for routine store tasks such as picking, sorting, packing, and shipping to support the fulfilment journey. Store managers can learn to use digital tools to analyze data, access insights and act on them faster than ever. Maintain real time inventory levels The greatest enemy of customer satisfaction is out-of-stock inventory.  Most shoppers are interested in pre-ordering new or out-of-stock items. This is especially true for fast moving items. Stores can manage inventory levels with a flexible and robust order management system. The order management system connects data across your warehouses and stores to give associates the most accurate status of current inventory. That translates to happy customers. Offer multiple digital payment options Customers need more payment options, period. Having just a credit card machine won’t do. In the era of digital, stores need payment types that are minimally invasive and streamline checkout for customers. Level up store fulfilment During the peak of the pandemic, there was a scramble to buy online or pick up in store. In fact, some retailers even turned some of their stores to micro-fulfilment centers. Make sure to: Clearly communicate important details to customers, such as where to pick up their items from and when. Clearly communicate to customers what identification they need to provide to pick up their orders  Establish a seamless connect with customer service channels so that shoppers can easily chat with an agent to resolve any issues Offer personalized product recommendations to customers based on their purchase Augment customer service across channels with a personal touch Customers love the physical experience, personal touch and immediacy that is intrinsic to in-store shopping. It will be wise extend that experience to your customer service channels. And one of the best ways to achieve this is to train associates by having them help out customer service agents during peak season. Another important consideration is to encourage self-service for customers. Keep your help centre up to date for customers to find their way around. Integrate workflows that guide customers through tasks like how to initiate a return to a nearby store. Use AI-powered chatbots to scale support during sales or holiday seasons. Lastly, adopt asynchronous modes of communication like messaging apps. They keep the conversation going and provide a history of past interactions. Train associates and empower them to resolve customer issues over digital channels and incorporate customer feedback to evolve the experience. Develop a loyal customer base, especially in the era of vibrant social media. Girikon is a Gold Certified Salesforce Consultant and can help you set up a strategy to connect with your customers like never before. Questions? We’ll guide you to the right path CONTACT AN EXPERT

The retail sector is figuring out new ways to stay at the top. Given the rise in online sales and digital buyers, retailers require introducing robust digital solutions that can help eCommerce businesses gain an edge over their competitors. One such solution that is tailored to meet the specific needs of online retailers is the Salesforce Commerce Cloud. Companies should consider leveraging Salesforce Integration services. What is Salesforce Commerce Cloud?  Salesforce Commerce Cloud, earlier known as Demandware, is an eCommerce solution that was designed to help retailers provide a unique shopping experience to users irrespective of the channel they are using. The robust solution offers rich features to help retailers better engage with shoppers and ultimately convert them.  What are the Key Solutions Offered by Salesforce Commerce Cloud? Salesforce Commerce Cloud offers numerous solutions that are customizable as businesses can pick functionalities and services to suit their specific business needs:  B2C Commerce: This solution is designed to transform the digital shopping experience for customers across different channels. Its primary purpose is to engage the brand and the shoppers irrespective of which channel they purchase from. This functionality covers everything from handling order lifecycle, creating marketing campaigns and customer-oriented promotions. These solutions help organizations improve their customer support teams, augment the rate of customer satisfaction, personalize customer experience while providing them with relevant information before and after they have made the purchase. B2C commerce cloud utilizes AI technology to predict customer behavior and provide recommendations to help clients find the products they are looking for.   B2B Commerce: Capturing the attention of business buyers might be difficult. B2B commerce is a solution to meet the complex needs of customers while entering the market spread across various industries. B2B commerce helps businesses respond to the growing competition and constantly evolving requirements while introducing innovation in their business operations. The robust solution provides buyers with a self-serving buying experience while simplifying online shopping by automating invoicing, billing, and reordering operations. Order Management: The key to online sales success is proper order management. Organizations can leverage Salesforce Order Management solutions to automate multiple operations related to the management of inventory, fulfilment of orders, payments, etc. Besides this, the solution also covers challenges related to return and refund policies allowing customers to feel more comfortable while shopping online. Benefits Offered by Salesforce Commerce Cloud:  Predict Customer Behaviour: Salesforce CRM with AI integrated within it and known as Salesforce Einstein eliminates the need to analyze data gathered manually. It does away with the need for third-party integration. The AI-powered CRM also predicts customer behavior, recommends personalized product offers, and automates repetitive tasks to save time and money. Providing customers with special offers, loyalty programs, and discounts makes it possible to enhance their overall experience. Improved Marketing Management: When combined with the marketing cloud, the Salesforce commerce cloud solution allows marketers to create promotion and marketing campaigns to create more clients. The cloud solution can manage everything from social media campaigns, paid promotions, email marketing, and reporting. Apart from this, another benefit of using this tool is the ability to run A/B tests to optimize conversions. Mobile Experience: To sustain this competitive business landscape, retailers require a mobile-friendly website with an intuitive design. With Commerce Cloud, marketers can deliver the best possible shopping experience for mobile customers irrespective of the device they use. Commerce Cloud follows a mobile-first approach to allow its users to access features anywhere and anytime.  Scalability and Customization: For businesses looking to venture into new markets or have attained a certain level of growth when they need to scale up their resources, Commerce Cloud offers customizable and scalable solutions. Businesses can start with essential features and allow more functionality on the go. It means that companies will have to pay only for answers that they need without including any useless features. Final Words:  Solutions offered by Salesforce empower businesses of all sizes to expand and meet the constantly growing customer demand. So, if you wish to remain competitive in the retail industry, driving digital transformation across the entire organization is a must. Suppose you are looking to implement Salesforce commerce within your business ecosystem. In that case, you must seek professional support from one of the most experienced and reliable Salesforce consultants who can help your business grow and thrive.

The retail industry is dealing with increasing costs, declining sales, disgruntled customers, and stiff competition. This has encouraged retailers to adopt technology tools and solutions to enhance operational efficiency and improve customer interactions. In fact, the retail industry offers a lot of scope for technological transformation in areas of supply chain management, inventory management, sales, marketing and more thereby empowering retailers to increase the overall efficiency and profitability of their business.  One such technology that has the potential to transform the retail sector is artificial intelligence, which has helped retail businesses boost their speed, efficiency, and precision. Let’s dive in a bit deeper to find out how: Cognitive Inventory Management: The thinking capability of AI can be leveraged to determine the inventory components basis of the current sales trend. Depending upon the data available, AI draws inferences and forecasts of probable scenarios, provides recommendations, and even takes necessary actions with human approval. Well trained algorithms can be used to make decisions, which improve efficiency. An AI-powered system can process huge amounts of data and help create an inventory that is tailored as per the current market trends and customer demand.  Customer Purchase History: With an AI-powered CRM, organizations can target the specific interest of buyers. By breaking down huge volumes of data, AI tools can be used to identify the purchasing pattern of customers and understand their preferences. The AI-powered systems can further recommend similar kinds of items to the customers for purchase. To integrate an AI-powered CRM, retailers should consider partnering with a Salesforce implementation partner. Interactive Interactions: Customers always look for a prompt response and with an AI-driven chatbot customer service can be improved significantly. These chatbots are trained to communicate with customers and provide answers to frequently asked questions and provide customers with the necessary support. These bots gather useful customer data and use it to determine their preferences and purchasing pattern. Streamlining Supply Chain: The retail industry can streamline their supply chain by leveraging AI-powered tools. This might involve categorizing in-demand products, transporting them, tracking the shipment, and inventory management. With an AI-powered CRM in place, the retail industry is poised to attain new levels of efficiency while maintaining a good customer relationship. Why Should Retail Businesses Consider Leveraging Salesforce Einstein?  Salesforce Einstein is an AI-powered CRM that integrates predictive analytics, and machine learning. Apart from this, there are other features such as Einstein discovery that allow users to figure out hidden data patterns in customer data. Other important features such as Einstein prediction builder provides for business predictions through custom AI models. Bots connected to CRM along with the integration of computer vision make use of deep learning models for identifying the make, model, or brand via product images. Another innovative feature is the Einstein voice assistant that helps in interacting with users in real-time. Quick Wrap-up:  Given the growing preference for online retailing by customers, organizations working in the retail sector are gradually adopting AI-powered solutions to enhance operational efficiency and business productivity. With a robust AI-powered platform like Salesforce Einstein in place, retailers can provide exclusive customer experience while taking business efficiency to the next level. If you are looking for implementing Salesforce Einstein within your business ecosystem, it’s in your best interest to get in touch with a reliable Salesforce consultant.   

The business ecosystem has become extremely complex. To sustain themselves in a competitive landscape, it becomes extremely important for retailers to keep growing, innovating and diversifying. This would require them to understand and fulfill customer demands while provide them with a superior customer experience. Unfortunately, the retail marketplace is riddled with slow economic growth and high costs. The problem is further compounded by new age customers who seek personalization, and promotion based pricing, which has made it extremely difficult for retailers to sustain let alone expand and attract new customers. However, disruptive trends associated with retailers, as well as customers have resulted in massive explosion of data, which when processed and analyzed can provide retailers with a sizeable opportunity to understand customer behavior and other valuable insights that can be leveraged for informed decision making. However, processing such humongous and voluminous sets of data has become a tremendous challenge for companies, and will continue to grow in the years to come. According to report shared by Gartner, data volume is set to grow by 800% in the years to come, 80% of which will reside as unstructured data. To make sense of this wealth of big data, retailers require a robust data management solution that can help them retrieve and process data from multiple places. This will help them draw real-time insights for quick decision making while generate true business value. Predictive analytics has emerged as a sure shot solution to all the data woes faced by businesses. By anticipating customer needs based on post-interaction, historical and real-time analysis of big data, customer requirement can be fulfilled in a quick and efficient way. According to statistics shared by Forbes, there has been a whopping increase in number of companies adopting predictive analytics i.e. from a mere 17% in 2015 to a massive 53% in 2017. A combination of machine learning (ML) and artificial intelligence (AI), predictive analytics is growing all the more accurate and insightful. However, several businesses continue to assess this technology with certain degree of skepticism considering it to be too complex, disruptive and expensive to incorporate.  Listed below are few ways how businesses could achieve sales goals and increased customer satisfaction by leveraging this smart technology: Uncover Qualified Leads: Though, the entire practice of lead scoring has been in place since quite some time, they were largely based on guesswork and were extremely time-consuming. With a predictive analytics solution in place, businesses can make their sales and marketing teams more efficient by allowing them to access information such as whether your offering matches a potential customer’s needs, how convinced is your potential client to make a purchase, and similar other details that too in a precise way. This would allow your marketing and sales teams to better determine whether or not a customer is likely to convert and if yes what would be their potential lifetime value. This helps your sales team focus their efforts on the most rewarding areas. Measure Call Outcomes: Till date, many companies rely on manual assessment of data in order to determine the success of a new product campaign or sales strategy. Since, data is manually recorded, it is subjective and prone to inaccuracy. This doesn’t leave much scope for precisely evaluating campaign success. With an automated system in place, calls and activity are appropriately tracked. This allows the sales team of a business to accurately measure their sales performance. Reduce Customer Churn: Predictive analytics is extremely useful in identifying issues and trends that has a large impact on your business operation. This would help you predict when and why customers might consider abandoning you. Such important details will allow businesses to take proactive action to enhance customer experience and serve their needs in a better way. The altering demands of technological forces have influenced the retail sector in the biggest possible way. Predictive analytics has the potential to transform businesses and industries in a way that will make them more productive, competitive and efficient. Used effectively, this technology can turn out to be the key to your outbound sales success and customer satisfaction. In a nutshell, it will act as a magic bullet that may lead to improved profits and better business outcome. As a reputed name in the IT space, Girikon offers robust