CRM

TensorFlow is an open-source library created by the Google Brain team to build enterprise-grade machine learning algorithms. TensorFlow bundles together a host of machine learning models and algorithms and with the use of common programming frameworks, makes them useful. TensorFlow uses Python and JavaScript to build user friendly APIs for connecting with apps, and uses core C++ to execute the app functionalities. While it is still early days for machine learning technology, it continues to evolve rapidly, bringing us into a new world of advanced algorithmic thinking, plus deep learning too. Deep learning makes use of algorithms that people usually call Neural Networks , and yes the title is pretty telling. They take inspiration from our biological nervous systems, sort of guided by the brain, in order to process information in a more natural style. In practice, deep learning algorithms help computing devices pick up on virtually every single bit of data, figure out what it means, and then learn repeatable patterns over time. And, honestly, these same advancements are also supporting organizations to boost customer engagement, automate routine workflows, and strengthen decision-making. All of this is happening through salesforce consulting services that lean on AI-driven insights and smart automation, which feels almost like a quiet upgrade happening in the background. TensorFlow is a tool to develop deep learning models.. It is an open-source AI library that uses data flow graphs to build learning models. With TensorFlow, programmers can build large-scale, multi-layered neural networks. TensorFlow is primarily used to perceive, understand, classify data and create predictive models. Main Use Cases of TensorFlow While TensorFlow can be used for many applications, here are 5 commonly used applications in the world of artificial intelligence. Voice/Sound Recognition One of the most popular use cases of TensorFlow is audio signal based applications. When fed appropriate data, neural networks can perceive and understand audio signals. These can be: Voice recognition — primarily used in Internet of Things (IoT) applications, Automotive applications (Voice command based actions), Security (Authentication) Voice search — Commonly used in Telecom and by mobile phone manufacturers Sentiment Analysis — used in CRM applications Flaw Detection (noise analysis) —Automotive and Aviation applications The world is familiar with the common use case of voice-search and voice-activated assistants. This use case has been widely popularised by smartphone manufacturers and Mobile OS developers such as Apple’s Siri, Google Assistant and Microsoft Cortana. Understanding and analyzing language is another widely used use case for Voice Recognition. Speech-to-text applications are used to extract and understand sound bites in larger audio files, and convert it into text. CRM is another area were voice/sound based applications can be implemented to deliver a better and smarter customer service experience. Imagine a scenario where TensorFlow algorithms fill in for customer service reps, and guide customers to the right set of information much faster than an agent. Text Based Applications This is another commonly used application of TensorFlow. Text-based applications, for instance sentiment analysis, can be used in CRM apps and social media for improving the customer or prospect experience. companies that use salesforce often integrate these AI-powered solutions for better customer engagement and analytics. Threat detection, used in social media and government applications, and fraud detection, used by insurance and finance companies, are some common examples. Language Detection is another popular use case of TensorFlow for text based applications. We are quite familiar with Google Translate. More than 130 languages can be translated into each other using this service. An AI powered version of a translate engine can be used in common real world situations like translating heath diagnosis technical terminology or legal jargon in contracts into plain language. Text Summarization Google also came up with sequence-to-sequence learning, a technique for shorter text summarization. This can then be used to build headlines for news and articles. Another use case for TensorFlow popularised by Google is SmartReply. It automatically generates e-mail responses based on text recognition and contextual understanding. Image Recognition This use case is primarily used by Social Media and Smartphone Manufacturers. Facial Recognition, Image Search, Motion Detection, Computer Vision and Image Clustering are nowadays being deployed in Warehousing, Healthcare, Automotive, and Aviation Industries. Google Lens is another example where Image Recognition is being used to understand the content and context to help identify people and objects within images. TensorFlow object recognition algorithms have the ability to identify and classify random objects within larger images. This has found use in engineering modelling applications such as creating 3D spaces from 2D images. Facebook’s Deep Face is another example of photo tagging using image recognition technology. Deep learning technology can identify an object in an image never seen before by analyzing thousands of images with similar objects. Today, these advancements are also being enhanced through generative ai prompts, which help AI systems create, interpret, and refine visual outputs more accurately across image recognition and computer vision applications. Healthcare Industry is also at the cusp of using Image Recognition for faster diagnosis.  TensorFlow algorithms can process information and recognize patterns much faster than the human eye to spot illnesses and detect health problems faster than ever. Time Series TensorFlow Time Series algorithms is another method used today to establish patterns and forecasting of time series data. Meaningful statistics can be derived by these algos along with recommended actions. TensorFlow Time Series algorithms allow forecasting of generic time periods apart from generating alternative versions of the predicted time series. A popular use case for time series algorithms is in recommendations, you know , the kind where history kinda repeats itself. Time Series recommendations has been used a lot across major orgs like Netflix, Google, and Amazon, where they look at and compare the activity of millions of people to figure out what someone might want to watch or buy. With each interaction, and recorded action, these recs get sharper over time. Like, they might suggest a show or video that your family members, or even friends, tend to enjoy, or maybe recommend gifts you could actually like. In a similar way, a salesforce implementation partner can use time series data plus predictive analytics to help companies craft more personalized customer experiences, boost engagement, and deliver more effective recommendations across sales and marketing channels. Finance, Insurance, Government, Security and Threat detection, Predictive Analysis, Resource Planning and forecasting are some of the other use case scenarios of TensorFlow Time Series algorithms. Video Detection TensorFlow deep learning algorithms can also be used on video data. This is used in Motion Detection in Automotive and Aviation, Role based Gaming, Security and Threat Detection. Today, universities are doing deep research on Video Classification at a large scale to perceive, analyze, understand, classify video data. NASA is using TensorFlow algorithms to build a system for orbit classification and object clustering of asteroids. Consequently, they will be able to classify and predict near earth objects. TensorFlow is an open-source framework, allowing developers the freedom to work on innovative and disruptive use cases, which will contribute further to Machine Learning technology. Amongst many things, TensorFlow’s popularity is primarily due to the computational graph concept, automatic differentiation, and the adaptability of its python API structure. This makes TensorFlow more accessible to developers to solve real problems. Here are some advantages of TensorFlow. 1. Scalable The TensorFlow library is well defined and structured. This means it works just as efficiently on a mobile device as on a powerful computer. 2. Open Source The TensorFlow library is available free of cost. Anyone, anywhere can work on it and use it to solve problems. 3. Graphs Tensorflow has a very powerful, inbuilt data visualization capability. This makes it easier for developers to work on neural networks. 4. Debugging Tensorboard, which is a part of TensorFlow, allows easy debugging of code blocks. This reduces the need for combing through the whole code. 5. Parallelism TensorFlow uses Central Processing Unit (CPU) and Graphics Processing Unit (GPU) for its functioning. Developers can use the architecture freely based on the problem they are trying to solve. A system uses GPU by default, which is why  TensorFlow is sometimes referred to as a hardware acceleration library because it reduces memory usage. 6. Compatible TensorFlow is compatible with popular programming languages like Python, C++, JavaScript, etc. This allows developers the freedom to work in an environment they are most comfortable with. 7. Architectural Support The TensorFlow architecture uses Tensor Processing Unit (TPU). This makes computation faster than what one would get when using CPU and GPU. TPU models can be easily deployed on the cloud and work faster than CPU and GPU. 8. Library management With the Google backing, TensorFlow is updated regularly with enhanced capability and flexibility with every release. AI is already an intrinsic part of Salesforce, the world’s leading CRM platform. As a Gold Salesforce Partner, Girikon is the preferred choice for many Salesforce customers across the globe. To know more about how AI can work for your business, contact us today.

It is essential to create a seamless customer experience across multiple channels and platforms to ensure customer satisfaction. This not just leads to better collaboration between different teams but also aids in business growth. All this requires having in place a robust solution, and Salesforce Customer 360 offers proper Salesforce support. What is Salesforce Customer 360? Salesforce customer 360 is a platform designed to help organizations better connect with their customers by promoting consistent internal operations. The platform supports internal collaboration by bringing sales, marketing, analytics, commerce, service, and IT. By leveraging this data, the platform creates unique customer IDs that can be used across all Salesforce and other applications. With this, a seamless customer experience can be created as all the teams in an organization will have access to this data. Listed below are some reasons why Salesforce customer 360 can prove to be a game-changer for forward-looking organizations:  Personalized Customer Experience: Small businesses that manage their data on spreadsheets or sticky notes fail to deliver personalized experiences to their customers as it is difficult to understand customer contexts. Businesses should provide their customers with personalized experiences to maintain lasting customer relationships to remain competitive. Salesforce customer 360 enables teams to craft reliable data on genuine customers and their needs. This enables organizations to augment their customer service and solve customer issues. Better Customer Experience: Figuring out genuine business customers and where they are isn’t easy. Customers, too, are apprehensive of sharing their data again and again. Salesforce customer 360 simplifies the customer satisfaction index when they connect with a business entity. Businesses leveraging such a system can benefit their entire workforce from marketing, sales, and service as they can store data that’s accessible to all. With this, customers start trusting the business and their efforts towards customer success. Business Forecasting: Businesses can achieve sustainable growth when they meet or exceed the expectations of customers. However, this is a big challenge for small businesses. Businesses must consider leveraging Salesforce 360 to help them adapt to various apps related to sales, marketing, support, and service while fulfilling customer expectations and business growth. In fact, this platform is designed to manage a small team size of 1-20 people that can avail both sales and service functions in a single app.  Better Business Decisions: For making intelligent decisions, it’s vital to have access to well-researched facts, figures, and data points. By having a rich customer database demand forecast, sales forecast expected revenue, and customer market projection, better decision making becomes possible as, in the presence of factual data, better planning can be done. With well-articulated figures in place, both long-term decisions and planning for short-term ventures can be ensured. By having in place a robust solution like Salesforce 360, a foundation for consistent and trustworthy and business intelligence can be laid as it offers features such as Salesforce scripting, reporting, content management system, and more.  Final words: In a nutshell, it can be inferred that the power of a robust solution like Salesforce 360 can be leveraged to improve the internal operations of a company and significantly improve customer experiences. However, investing in a powerful solution like Salesforce 360 requires time, thought, and advice from a certified and experienced Salesforce consultant. 

As a cloud-based platform, Salesforce continues to rein the CRM space as it occupies a market share of around 20 percent. It is indeed the most popular and widely adopted CRM system due to the vast array of valuable features and functionalities offered by the platform. What makes it unique and one of the most preferred platforms is the release of new products and features year after year. With several new releases and acquisitions back and forth, Salesforce has come a long way. With such an evolution, users of Salesforce technology should learn to stay ahead of the curve. Instead, customers need to understand how they can use technology to increase business ROI, which significantly impacts the bottom line. Listed below are some great features that can help organizations optimize their Salesforce implementation for mitigating costs incurred due to customer and employee churn. It is always a good option to seek support from a reliable Salesforce consultant to know more about these features: Lightning Page Performance: This powerful feature allows users to deal with inconsistent lightning pages that aren’t optimized while working in a Salesforce org. The Lightning page performance is built natively into the Lightning App Builder responsible for doing all the analysis. This feature provides analysis about the performance of the pages on desktop/ mobile while providing tips to enhance performance and user experience. By benefitting from the Lightning Page Performance and optimizing the placement of the lightning component, end users can accomplish their duties much quickly and efficiently while dealing with the urge of distractions while opening multiple pages to fulfill their daily tasks. In-App Guidance: This feature assists employees with reminders, tips, and gradual walk-throughs to help them navigate the system appropriately. This feature can be configured to display a floating message or a prompt message in the utility bar. To measure the effectiveness of your implementation, data about the interaction of employees about guidance messages is recorded. This feature provides resources to users even before they recognize the need, thereby increasing the company’s ROI. This not just saves time but also improves efficiency. With supporting resources, and efficient workflows, employee morale is increased, and productivity is optimized. Salesforce Survey: For an organization to improve their ROI, they need to understand where the opportunities for enhancement are. Shortcomings usually exist in lengthy sales processes, product-related issues, slow response time, and more. However, identifying the bottom of the matter is necessary for implementing change. To understand customer experience regarding their products and services, organizations can directly gather customer feedback by using Salesforce surveys. This feature is endowed with a wide array of functionalities and the ability to automate the sending of the survey, customize email templates, and more. By gathering and analyzing survey results, organizations can better serve their customers. Social Studio: This feature is leveraged by organizations to connect with prospects and customers on social channels such as Facebook, Linked In, Twitter, and more. Eventually, this feature connects the sales, marketing, and service teams with their customers, enabling employees to develop meaningful relationships with customers and communicate with them on a common platform used both inside and outside of the workplace. Social Studio allows organizations to identify what prospects/ customers are speaking about the company, respond and track prospects as leads, and much more. With Social Studio, data-driven insights can be gained, which provides a deeper picture into how your customers engage with your social strategy, which can lead to enhanced lead generation and sales opportunities with the likelihood of maximum closure. Final Words: Businesses are seeking ways to save time and money by removing operational bottlenecks. The cost incurred as a result of employee and customer churn as a result of poor customer experiences can be alleviated by optimizing Salesforce and making the most of all the great features. To know more about these robust features, make sure you get in touch with one of the best Salesforce partners.

The Covid-19 has wreaked havoc on businesses across the globe. While complexities such as a shift in consumer demand, disruption of distribution channels, and unreliable data forecasting undermined some businesses; few others struggled to meet the sudden spike in demand for products that happened overnight.  While new challenges arose as a result of the pandemic, the need to manage revenue didn’t change. Rather it has become more urgent now. With tightening budgets, B2B buyers are looking for quick and flexible purchasing and payment options along with personalized and prompt services to adjust their contract rather than waiting for weeks. However, delivering on their expectation is difficult with multiple stakeholders and a growing network of partners and acquisitions. Apart from this, legal and compliance regulations around revenue reporting make precision critical. Salesforce – a leading name in the CRM space has introduced Salesforce revenue cloud, which provides businesses the flexibility to make the process of buying quicker and easier, generate new revenue streams, and augment revenue efficiency across different channels. It does all this by bringing together CPQ and billing, B2B commerce, and partnership management.  Since, revenue cloud is a part of the Salesforce customer 360 platforms; it will allow organizations to create a single source of truth by connecting their sales, operations, and finance teams revenue and customer transaction. To implement the Salesforce Revenue cloud, organizations should seek Salesforce support from a reliable service provider. Businesses will be able to reap the following benefits by leveraging the Revenue cloud: Transform the Buying Experience: The introduction of new B2B Commerce and CPQ connector helps in the customization of digital storefronts for complex B2B selling. Apart from this, functionalities such as customizable pricing to digital carts for a self-service experience for customers can be added. So, when a customer shares their specific needs, it becomes easy for sales reps to resolve their queries as they have access to the entire purchase history of customers. This will allow customers the ability to move across different sales channels with the help of sales partners and digital storefronts. New Sources of Revenue: The implementation of revenue cloud empowers sales and marketing teams to form new revenue generation strategies including the launching of subscription packages, implementing pricing policies. The recent acquisition of Vlocity made by Salesforce adds to the workflows for revenue management. With the new Multi-Cloud Billing feature, organizations can create revenue streams by gathering data from other clouds on a single platform.  Augments Revenue Efficiency: The process of tracking revenue is manual, and time-consuming. Automating these processes relieves teams from the burden of manual transfer of crucial data between systems, data reconciliation, and approvals. Automation helps in commencing sales orders and consolidating invoices. These will do away with the issues relating to underbilling or making incorrect modifications to contracts. The new Customer Asset Lifecycle management tool provides a visual dashboard of whatever a customer has purchased while keeping a record of all the amendments made in a contract over time.  Apart from this, effective assessment against KPI’s such as lifetime value of customers, net revenue retention is beneficial for all the teams. This will help teams to make key decisions regarding cost- cutting and who to target now. Final Words Salesforce revenue cloud is another powerful addition to the cloud platform. This robust cloud solution allows businesses to track and report the generation of revenue with accuracy. The revenue cloud platform can help businesses accelerate growth by filling the gaps created as a result of lost revenue or improving on the areas where a business is doing well. Irrespective of the complexity of the business models, deals, or revenue processes, Revenue Cloud provides a single source of truth for transactional data. To know more about Revenue cloud, it’s important to get in touch with a certified Salesforce consultant.

Customers continue to be the most important assets for any organization and to ensure long-term relationship with your customers, it’s important to cater to their needs in the best possible way. One of the most effective ways of doing so, is to constantly upgrade your products and services, in a way that fulfils the evolving requirement of your customers. In other words, create new version of your products through new releases and upgrades. If you are leveraging the Salesforce platform, you will have to keep pace with all the upgrades that it keeps releasing time and again. What is Salesforce Upgrade? Salesforce releases new upgrade from time to time and to improve the performance, logic, and usability of your software, it is essential to upgrade it to the new version. Besides releasing regular upgrades that could be used to improve a products functionality and performance, Salesforce has illustrated seamless upgrades that are critical to customer success. Salesforce takes up to five minutes for upgrades and users will not see any difference when using the new Salesforce release. Changes with the new release will not activate by default and only salesforce admin can activate the new features using the Setup menu. What is the Impact on Interface? During the upgrade, our customizations are preserved, and Salesforce gives the same effects having the same consequences. During the upgrade, the Session Id is inactivated, and if any interface is running at that time, we’ll get ‘INVALID_SESSION_ID’ error. We cannot run our batches during the upgrade period, as the upgrade window can break our batch, we’ll have both valid and invalid data in our org. To manage this, what we need to do is: Monitor the validation/deployment results and check the post-deployment steps. If we need to run a batch after deployment checks the execution result of the batch. If it failed, we have to run it again. This has an impact on our scheduling (stop cascade batches and implement a retry every 30 minutes for example) We need to plan our batches after or before the upgrade period. We need to implement to run the same batch once again to continue the process without altering the data already processed. For a batch update to keep data consistency, we need to use transactions. It is native for batch Apex, but when using the API (custom development, ETL connector (i.e. TALEND, dataloader, etc.), we are not able to keep data integrity. The only way to keep it is by creating Apex Webservices that will be accessed by our batch. Is there any impact on Connected Users? During upgrade all the users need to invalidate their Session Idso that they are unable to connect the Salesforce until the upgrade process has finished. Users receive an error message letting them know that the service is unavailable during the upgrade and are prompted to log in again when the upgrade is complete. To manage this, we need to do: Share an upgrade timeline plan with all users so they know when you will upgrade, and how often Inform the user when they can log in into the system Share the new document, if any, if there is a change in the Salesforce UI/UX Best Practices to be followed If the Salesforce upgrade is not planned, there might be cases where end-users may not be able to access Salesforce after the completion of the update. In order to avoid unexpected service disruptions, we may need to take the following actions: 1) Enable “My Domain” NOTE: “My Domain” is required for customers who have requested the org migration. 2) Update the hard-coded references if any, for e.g. test-abc.salesforce.com and make sure to update them to the right URLs (for example, <yourdomain>.salesforce.com, abc.salesforce.com) prior to the org migration. Also, if there is any hardcoded Id in the code, make sure to update them dynamically. 3) If the Salesforce org has set up corporate network settings or any email security filters to restrict the access to only certain IP ranges, make sure to update the lists to include the newest ranges. You can whitelist the IP ranges in the Network Setting of Salesforce. 4) If there is an issue in integration following the maintenance, prepare to refresh integrations. Why to Upgrade and what are the benefits? Salesforce has the capability to work with earlier released features even if those features are supplanted by new functionality. Salesforce keeps all customers on a single version—i.e. the most recent version—of the product. Therefore, Salesforce provides the same experience, coolest Feature, advancement on compatibility and the latest bug fixes. Conclusion It is very much required to upgrade the Salesforce version to the latest release as it can eliminate the technical risks involved during the implementation. We understand that there could be a service disruption for couple of minutes but it is must have for your organisation since it could also increase your productivity. As we know that Change is the only Constant, hence we all must go with the flow and suggest the users/clients to upgrade to the newest version as soon as it is live. About Girikon:  Girikon is a Salesforce Consulting Partner, committed to deliver excellence by providing customers with wide array of quality services including Salesforce implementation, Salesforce consulting and Salesforce support.

Data loss poses a severe threat to businesses of all sizes. When sensitive data is compromised or stolen, the financial health, productivity, and reputation of a company take a hit. As data volume is increasing exponentially, opportunities for thefts and breach of proprietary information are rising significantly. While businesses are adopting strategies to prevent the loss of their confidential data, it isn’t entirely possible to avoid the same. While organizations using robust CRM systems like ‘Salesforce’ might develop a false sense of security as they store their data in the cloud, yet these systems aren’t prone to outages. While Salesforce till now provided data back-up recovery services for retrieving lost data, especially in scenarios such as ‘data import’, which might at times go wrong. However, Salesforce is about to cancel its data recovery services by the end of July 2020.  What makes Salesforce retire from their data recovery services?  Salesforce doesn’t consider their data recovery service worthy enough to be continued due to the time and cost involved in retrieving the data. Apart from this, some data cannot be recovered using Salesforce data recovery services, and an excellent example of it is the metadata. In fact, only data as old as three months can be recovered and is recommended as a last resort that, too while recovering large quantities of data. While the Salesforce recovery process requires you to pay a hefty rate of $10,000, it takes several weeks before you receive the CSV file much before you restore data to your org. What’s more bothersome is that Salesforce doesn’t assure of complete retrieval of data. With such poor services, Salesforce finally decided to call off its data recovery services without any replacement.   Alternatives to data recovery services by Salesforce  Salesforce provides three out-of-the-box options that require manual intervention: Data Loader: Using Dataloader, you will be able to export all your data manually. With a developer by your side, you will be able to automate the export process easily. Data Export Wizard: This function enables you to program a downloadable copy of your data. Once the back-up is ready, you will be notified regarding the downloading of the files via email. This allows you with 48 hours to download all the data before they expire.  Reports: The reporting function, just like Data Loader, can be used to export your data. However, running extensive reports can be taxing and time-consuming.  What is the Best Fit? In such a situation, the best approach is to use third-party applications that are available on AppExchange for data recovery and back-up. However, it would help if you looked out for features like multiple snapshots of data, comparison between production and sandboxes, and data hosting solution coupled with a mechanism for querying data. Since, the Salesforce platform is designed to facilitate integration with third-party tools; it provides for a back-up data solution.  Conclusion:   While it isn’t easy to prevent data loss, the good news is that it is easy to avoid the loss of Salesforce data with a robust disaster recovery strategy. Though Salesforce intends to back out from their data recovery services, it certainly provides for a back-up solution.  Girikon – a reputed name in the Salesforce consulting space offers wide array of IT services that can be leveraged by organizations across different sectors to fulfill their specific business needs.

One of the most crucial aspects of managing a business is creating and maintaining strong customer relationships. To remain relevant, businesses require figuring out ways through which they can consistently fulfill the evolving customer requirement in a hassle-free and streamlined way. An extremely effective way of forging strong relationships with customers is by implementing a robust CRM (Customer relationship management) system that can help organizations take customer satisfaction to the next level.  As leaders in the CRM space, Salesforce has created ripples in the world of marketing and sales. In fact, with its suite of features and applications, this innovative platform is beginning to find widespread adoption across different industry verticals. As organizations across the globe are searching for new methods to make the most of this innovative CRM, let’s take a sneak peek into the technological upgradations that are expected to happen in 2020, which in turn can enhance the experience of the users.  Make the CRM more technology-oriented: Salesforce made quite a few acquisitions in the year 2019, most of which have become highly profitable. Through these acquisitions, Salesforce intends to bring technological upgradations to its future CRM. These upgradations may include orchestrating enterprise data in the cloud, integration of location-based software, AI-powered communication tools, enhancing field service offering in-service cloud and more. Lightning Platform will come to the fore: Salesforce aims to enhance its Lightning platform (not the classic platform) by introducing several user-friendly features for making it more useful and productive for its users in the year 2020. So, it can be assumed that users leveraging the Classic platform will migrate to the lightning platform. Users looking to make a smooth transition to the Lightning platform can get in touch with a reputed Salesforce consulting company.  Einstein Analytics will be Used for Scaling up AI: Just the way Salesforce introduced powerful features of Einstein Analytics to its cloud service offerings such as financial service cloud, commerce cloud, service cloud, etc. in 2019, there are high chances that Salesforce might introduce Einstein AI to many other cloud service offerings in 2020 as well.  Mobile capabilities will be Broadened: Prioritizing the mobility needs of sales reps is extremely important in today’s competitive business landscape. With the growing need for security, speed, and reliability of customer and enterprise-grade mobile experiences, it becomes important to adapt to the ever-evolving mobility environment. While Salesforce has introduced mobile SDK, which has not just flouted technical barriers but has also broadened its mobile capabilities. In 2020, the market leader is expected to take more steps to expand its mobile capabilities and take it to a new level.   New Industry Verticals to Join the CRM Bandwagon: With every passing year, Salesforce is witnessing more and more adoption by businesses across different industry verticals. This undoubtedly has increased the demand for its services. In the year 2020, Salesforce is more likely to expand its’ adoption to several other verticals including the retail and manufacturing industry. As evidence of industry-specific verticalization, Salesforce has presented Consumer Goods and Manufacturing Cloud as its CRM cloud solution. The Emergence of Unified Customer Profile: The significance of data in offering superior services to customers cannot be denied. Consequently, a large number of organizations are switching to customer 360 primarily for gathering data from different units of the organization including Sales and marketing. This data can be leveraged to draw meaningful and actionable insights regarding sales forecasts, charting out the marketing plan, resolving customer service issues, etc. With Salesforce making significant investments in customer 360 and Mulesoft, it wouldn’t be wrong to assume that the year 2020 will witness the advent of a unified customer profile.  Conclusion:  As a cloud-based system, Salesforce continues to reign the CRM space. With an array of features, functionalities and applications in its arsenal, Salesforce has found widespread adoption among businesses across different industry verticals. Let’s hope that the year ahead lives up to all the predictions made for and by Salesforce allowing it to grow further and reach new heights of success. Girikon – a Salesforce consulting partner offers reliable Salesforce consulting, Salesforce support and Salesforce implementation services to businesses across the globe. As a reputed Salesforce consulting company, Girikon offers robust solutions that can transform the way organizations conduct their business.