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What is Omni-Channel Salesforce
17May

What is Omni-Channel Salesforce?

What is Omni-Channel Salesforce? Omni-Channel is a Salesforce feature designed for Customer Service and Console applications that automates the routing of various work items, such as Leads and Cases, to agents. It ensures that work items are assigned to agents based on their capacity, priority, skill set, and other criteria. Features of Omni-Channel Benefits Omni-Channel in Salesforce Enhanced Omni-Channel Setting Up and Using Omni-Channel Key Differences: Multichannel vs. Omni-Channel Route Work with Omni-Channel Omni-Channel is a flexible, customizable feature, and you can configure it declaratively—that is, without writing code. Use Omni-Channel to manage the priority of work items, which makes it a cinch to route important work items to agents quickly. Manage your agents’ capacity to take on work items so that they’re given only the number of assignments that they can handle. You can also define which agents can work on different types of assignments. For example, you can create one group of agents to respond to leads and sales inquiries, and another group that helps customers with support questions. Omni-Channel routes work requests to the most available and qualified support agents in the app. You can also provide real-time operational intelligence to support supervisors with Omni Supervisor. Agents no longer have to pick and choose work assignments manually from a queue, which saves everyone in your call center time, effort, and brainpower. Because it’s easier for agents to work on their assignments, they can assist your customers faster and more effectively and close assignments more quickly. Routing logic is applied when work is assigned to an owner. If field values on the work item are changed after the item is routed, the routing logic isn’t reapplied. Omni-Channel is supported in both Lightning Experience (recommended) and Salesforce Classic. You can run Omni-Channel in both standard and console apps. Route Work with Omni-Channel Use Omni-Channel to route work items to queues, agents, skills, and even Einstein Bots (on supported channels). Depending on your business needs, you can use different ways to route work, including Omni-Channel flows. Omni-Channel routes work based on the defined routing logic. When an agent is assigned a work item, they can accept it to begin working on it or decline it. When a work item is declined, Omni-Channel releases the agent’s capacity consumed by the work item. But the declined work item remains owned by the declining agent until the work is routed again. If the agent declines a work item or doesn’t accept the work item in the specified time period, Omni-Channel doesn’t try to route that work item to that agent again. If an agent accepts the work, they can transfer the work to another agent. NOTE We recommend using Enhanced Omni-Channel. Enhanced Omni-Channel features better and more extensive experiences for agents and supervisors than Standard Omni-Channel, and future Omni-Channel features are developed on Enhanced Omni-Channel. See Compare Standard and Enhanced Omni-Channel and Enable Omni-Channel. Set Up Omni-Channel Set up Omni-Channel to route any type of incoming work item to the most qualified, available support agents in your call center. Omni-Channel integrates seamlessly into both console and standard apps. NOTE We recommend using Enhanced Omni-Channel. Enhanced Omni-Channel features better and more extensive experiences for agents and supervisors than Standard Omni-Channel, and future Omni-Channel features are developed on Enhanced Omni-Channel. See Compare Standard and Enhanced Omni-Channel and Enable Omni-Channel. Test Your Omni-Channel Implementation Now that you’ve got Omni-Channel set up and enabled, test your implementation to make sure it’s working correctly. To test your implementation, route a work item to yourself. Sit back and relax. You’ll see an incoming request notification in Omni-Channel within a few seconds. Manage Agents, Queues, and Skills with Omni Supervisor Manage agents, queues, and skills in Omni Supervisor. Get to Know the Omni Supervisor TabsSupervisors can check the health of their call center in real time using the Agents, Queues Backlog, Assigned Work, and Skills Backlog tabs in Omni Supervisor. These tabs let supervisors see which work items are open and active, who’s assigned to what, and other details such as open capacities and average wait times for customers. Provide Customer Support for Real-Time Channels with Omni-Channel Service customers using their preferred means of real-time communication, including phone, messaging, or chat in standard and enhanced channels. You can accept and manage these types of support requests in Omni-Channel. If needed, while helping a customer, you can reach out to your supervisor to get support. Use the Omni-Channel Component to Work with CustomersTo begin receiving inbound requests from customers or to make outbound contacts, log in to the Omni-Channel component and update your status to indicate that you’re available. If you don’t see the Omni-Channel component in your app, check with your admin. Use the Omni-Channel Component to Work with Customers To begin receiving inbound requests from customers or to make outbound contacts, log in to the Omni-Channel component and update your status to indicate that you’re available. If you don’t see the Omni-Channel component in your app, check with your admin. When you mark your status as available in Omni-Channel, you begin receiving work requests, like phone calls. Work items assigned to you appear in Omni-Channel until you complete, transfer, or decline them. TIP By default, phone calls are taken through the same speakers and microphone your system device uses. To take calls through different audio devices, click the Settings icon on the Omni-Channel component and choose your preferred devices under Input and Output. The devices you choose are only set only for your current browser. For example, if you choose a device for Google Chrome, that device isn’t set for Mozilla Firefox. This feature isn’t available in Apple Safari browser. If you set up a service channel to use the tab-based capacity model, Omni-Channel determines agent capacity based on the open tabs. Each tab is a session for a specific work item. To close the work item and remove it from your Omni-Channel instance, close the tab for that item. The tab-based capacity model releases an agent’s capacity

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May 17, 2022in Data, Enterprise, Google, Salesforce, Salesforce Implementation Services, Salesforce Service Cloud
Salesforce SOQL Tools and AI
13Apr

Salesforce SOQL Tools and AI

Salesforce Object Query Language (SOQL) is a robust instrument empowering users to retrieve data from Salesforce efficiently. With SOQL, you can interrogate any Salesforce object, spanning from custom objects to user permissions like profile and permission set perms. Salesforce SOQL Tools and AI. As a seasoned Salesforce Admin, crafting SOQL queries can often prove cumbersome. Not only must you master the syntax, but you must also ensure the queries are both effective and precise. Salesforce SOQL Tools and AI Fortunately, the advent of generative artificial intelligence (AI) tools offers a solution to this challenge. Generative AI tools, capable of producing text, code, and creative content, have emerged as invaluable aids in generating SOQL queries. Among these, Bard and ChatGPT have emerged as particularly helpful tools for crafting SOQL queries. In this discourse, I’ll illustrate how to leverage prompts to generate SOQL queries using these generative AI tools, providing query examples and resources to kickstart your journey with SOQL in your organization. Initiating SOQL Queries with Generative AI Tools To start, it’s essential to furnish the generative AI tool with pertinent information about the intended query. For instance, one might instruct the tool to generate a query retrieving all open opportunities. Subsequently, upon prompting: “Write SOQL that returns all open opportunities in Salesforce.” ChatGPT furnishes the following response: “SELECT Id, Name, StageName, CloseDate, Amount FROM Opportunity WHERE IsClosed = false” This query selects Opportunity records and retrieves their pertinent attributes, filtering the results to include only open opportunities based on the IsClosed field. Bard echoes a similar sentiment with its rendition of the query: “SELECT Id, Name, StageName, Amount, CloseDate FROM Opportunity WHERE IsClosed = false” However, the essence of prompt writing and critical thinking lies in refining the generated response. For instance, by slightly altering the prompt to include additional criteria: “Write SOQL that returns all open opportunities in Salesforce, including all standard fields and filtering results by StageName.” ChatGPT furnishes an adapted query: “SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” It’s worth noting that ChatGPT lacks insight into the specifics of your organization’s structure, necessitating occasional guidance to accommodate custom fields. However, through conversational cues, you can educate it accordingly: “My Salesforce org includes a custom field with the API name of NonProfit__c for Opportunity. It’s a boolean field. Please include it in all future SOQL queries on Opportunity.” To which ChatGPT responds: “Certainly! To include the custom field NonProfit__c in all future SOQL queries on Opportunity, you can modify the query as follows: SELECT Id, Name, AccountId, Amount, CloseDate, CreatedBy.Name, CreatedDate, LastModifiedBy.Name, LastModifiedDate, StageName, NonProfit__c FROM Opportunity WHERE StageName != ‘Closed Won’ AND StageName != ‘Closed Lost’” By incorporating NonProfit__c into the SELECT statement, the custom field is seamlessly integrated into the query results. Leveraging SOQL for User Permissions Reporting One particularly advantageous application of SOQL for Salesforce Admins is reporting on user permissions. By utilizing the SOQL Query tool in Code Builder or the Developer Console, admins can scrutinize permissions assigned to users via permission sets, profiles, objects, and fields. Here are a few illustrative examples of user permission SOQL queries, collaboratively devised with the assistance of ChatGPT: Check user permissions on an object: SELECT PermissionsRead, PermissionsCreate, PermissionsEdit, PermissionsDelete FROM ObjectPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND PermissionsRead = true Check user permissions on a field: SELECT PermissionsRead, PermissionsEdit FROM FieldPermissions WHERE ParentId IN (SELECT Id FROM PermissionSet WHERE PermissionSet.Name = ‘Your_Permission_Set_Name’) AND SObjectType = ‘Your_Object_Name’ AND Field = ‘Your_Field_Name’ AND PermissionsRead = true Determine which permission sets grant Edit access for a specific field: SELECT ParentId, Parent.Name, Parent.Type, Field, PermissionsEdit, PermissionsRead, SobjectType FROM FieldPermissions WHERE Parent.IsOwnedByProfile = true AND Field = ‘ADM_Work__c.Subject__c’ AND PermissionsEdit = True Identify users assigned managed packages: SELECT Id, UserId, PackageLicense.NamespacePrefix FROM UserPackageLicense WHERE PackageLicense.NamespacePrefix = ‘YOUR_PREFIX_HERE’ Embark on Efficient SOQL Query Generation Today With generative AI tools, initiating sample SOQL queries becomes a n easier process, alleviating the need to grapple with syntax intricacies. For admins who occasionally require SOQL queries and find themselves toggling between documentation and references to commence, leveraging generative AI represents a compelling alternative. Here are some additional pointers for harnessing generative AI tools to craft SOQL queries effectively: Be precise: Furnish the tool with specific instructions to ensure accuracy and efficiency in query generation. Provide examples: Supplying the tool with query examples aids in generating more tailored queries. Test rigorously: Following query generation, ensure thorough testing to verify the returned results align with expectations. Ultimately, by harnessing the power of generative AI, admins can streamline the process of crafting SOQL queries, thereby enhancing productivity and efficiency in Salesforce data management endeavors. Data analysis serves as a cornerstone of business strategy, yet crafting custom SOQL queries to import specific Salesforce data can prove complex and time-consuming, particularly for those without coding expertise. When you add the necessity to amalgamate data from various systems, the process becomes even more cumbersome and inefficient. Coefficient Salesforce SOQL Tools and AI In this insight, we’ll demonstrate how Coefficient’s Formula Builder, powered by GPT, streamlines the creation of custom SOQL functions, and how Coefficient facilitates direct data imports from Salesforce within Google Sheets, all seamlessly integrated into your workflow without ever leaving your spreadsheet. To get started, launch the Coefficient add-on directly within your Google Sheets. If you haven’t already installed Coefficient, simply navigate to the Google Workspace Marketplace to acquire it. Here’s how to install Coefficient: Now that you have Coefficient installed, you can effortlessly import your live Salesforce data. In the Coefficient sidebar within Google Sheets, follow these steps: To do this, follow these steps: The Formula Builder will promptly generate a custom SOQL query based on your specifications. Simply copy this query, and you’re ready to go. With Coefficient, data analysis becomes more efficient and accessible, empowering users of all skill levels to harness the power of Salesforce data seamlessly within Google

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April 13, 2021in Generative AI, Salesforce
14Apr

AI in Sales Enablement

When it comes to integrating artificial intelligence (AI) into the workplace, the question isn’t whether but when. The rapid expansion of AI technology, particularly generative AI, has ushered in a new era filled with both opportunities and uncertainties. Many organizations are grappling with how to harness these technological advancements and whether AI will replace human workers. First, it’s important to clear up a common misconception around the term artificial intelligence. It does not include all technological features of a certain software program, system, or platform. For example, basic content search functionalities are not considered to be AI. (Put in a more specific context, Google’s search engine uses AI but is not considered to be AI itself.) So when we talk about AI, what are we really referring to? According to AI specialist and Product Manager Miquel Segarra: “When someone believes they are interacting with ‘artificial intelligence,’ in reality, what they are doing is interacting with a set of machine learning algorithms trained to be precise at a single task. These algorithms, correctly combined, offer the feeling of interaction with a seemingly self-intelligible system.” Put another way, artificial intelligence is a technology that can be “trained” to perform certain intricate tasks that would otherwise require human intelligence to handle. AI in Sales Enablement Salesforce and Tectonic are dedicated to shaping the role of AI in sales enablement and helping our customers leverage AI now and in the future. To gain insights into the current AI environment for this insight, we reviewed a survey of 1,400 full-time sales, enablement, and customer success professionals in managerial and leadership roles across the U.S, U.K., France, and Germany. Survey findings indicate that many go-to-market (GTM) professionals are optimistic about the future of AI, particularly in enablement technology. AI tools allow salespeople to easily write emails that resonate better with prospects’ pain points. For example, sales reps can feed detailed information about a prospect’s role, company, budget constraints etc., into tools like Claude.ai to generate emails tailored to their context. The AI looks beyond just LinkedIn and Google to incorporate insights from public documents. Once you give the AI clear guidelines on tone, length, etc. to get the best output. Breaking prompts down into a series of detailed questions yields better results than long blocks of text. This results in emails that demonstrate a deep understanding of a prospect’s goals and challenges. One State of AI in Enablement 2023 Report reveals that respondents are embracing the integration of AI into their existing enablement tools and programs. These organizations are at various stages of AI adoption, with some exploring AI’s potential and many already incorporating AI into their enablement processes with positive results. Opportunities Presented by AI for Enablement Leaders According to Forrester, the global demand for AI software is projected to reach billion by 2025. Just as sales enablement technology transformed how sellers interact with buyers, AI represents another powerful tool for streamlining and optimizing their work. Enablement users believe AI will enhance existing tools: Ninety-three percent of respondents plan to invest in enablement tech because they see AI as a means to strengthen their enablement efforts. Key areas for AI application include learning and coaching, content distribution, content analytics, and content management. AI can help sales teams easily tailor content to prospects based on what stage they are at in the buyer’s journey. Simple prompts allow the AI to generate content that aligns with the specific concerns of prospects at each stage. For example, financial stakeholders likely only care about ROI data in the later stages when purchase decisions are being made. AI makes it easy to serve prospects the right content at the right time. Organizations using sales enablement AI are reaping benefits: Half of the respondents report that their organizations already leverage AI-powered tools in their enablement efforts, leading to a significant increase in customer satisfaction. These AI-integrated organizations are experiencing benefits such as personalized recommendations, expert product knowledge, customized coaching and training, and valuable customer insights. Satisfied customers are expanding their investments in sales enablement AI: Eighty-two percent of respondents currently using AI are impressed with the results and plan to implement more AI-powered solutions in the next 12 months. These organizations have achieved outcomes such as operational optimization, enhanced buyer experiences, improved agility, speed to market, better decision-making, scalability, and revenue growth. AI could be very impactful for account-based marketing efforts. Instead of generic, wide-reaching campaigns, the technology allows teams to deliver personalized messaging to key target accounts. Reps can serve targeted accounts with highly relevant content and offers by building rich personas and mapping content to buyer journey stages. This requires a shift from prioritizing quantity and automation toward more tailored outreach. Frequently Asked Questions About Sales Enablement AI Organizations have encountered challenges with AI adoption, including concerns about data privacy and the need for continuous training to keep pace with evolving AI technologies. Ethical concerns regarding AI use in sales enablement are also being addressed through transparent communication, ethical guidelines, and best practices. While there are many places where sales and marketing overlap, the most critical is the lead cycle ­– how to understand, qualify, and track leads. It has been an almost intractable problem thanks to the lack of integration between systems and also in the complexity of lead qualification. AI can provide insight to help speed and improve the accuracy of analytics that provide organizations the ability to improve sales. Marketing can always generate leads. The challenge is not compiling names, it is in qualifying leads. If someone interested in your product doesn’t have budget, a purchase is not going to happen. Well, at least not always. What if you’re in a “land and expand” account, on department doesn’t have budget, but the sales team knows people in the CFO organization and can prove ROI? An enterprise sale might still happen. What can be seen from that example is that qualifying leads is a bit more complex than many believe. There are levels and strategies to

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April 14, 2020in Einstein 1 Platform, Einstein Insights, Salesforce Einstein
Salesforce Sales Cloud
09Apr

Salesforce Sales Cloud Explained

Salesforce Sales Cloud is Salesforce’s premier product, originating with the company’s birth in 1999, and currently commands the largest market share among all available Customer Relationship Management (CRM) solutions. With a core mission to expedite the sales cycle, Sales Cloud furnishes companies with an array of tools for efficient management of leads, opportunities, businesses, and individual contacts. While it predominantly caters to Business-to-Business (B2B) enterprises, Sales Cloud encompasses features like quoting, product management, and forecasting tailored to meet the needs of sales managers. In addition to its foundational features, Sales Cloud offers a suite of add-on products that further enhance its capabilities. These include Sales Cloud Einstein, Inbox, Salesforce Maps, Lightning Dialer, Lightning Scheduler, Salesforce Engage, Einstein Sales Analytics, and Revenue Analytics. These supplementary products provide advanced functionalities and analytics, elevating the overall sales experience for businesses utilizing Sales Cloud. What does Salesforce do? It helps teams work better together. Your business may use a single Customer 360 app, or a combination of many. By improving team communications, automating repetitive tasks, and surfacing more insights with the help of AI, our customers drive greater business success. Connect the dots between marketing and sales. Bring all your customer data together in one place to inform campaign strategy, audiences, and content. Use generative AI to create personalized messages and send them to prospects right where they are most likely to engage with them. When customers click on your ad or website, an automated message is sent to sales, notifying the team of a new lead. Tectonic is please to announce our Sales Cloud Implementation Solutions. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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April 9, 2019in Data, Enterprise, Generative AI, Salesforce, Salesforce Implementation Services, Salesforce Managed Services, Salesforce Sales Cloud
Salesforce CRM for AI driven transformation
22Mar

Salesforce Artificial Intelligence

Is artificial intelligence integrated into Salesforce? Salesforce Einstein stands as an intelligent layer embedded within the Lightning Platform, bringing robust AI technologies directly into users’ workspaces. The Einstein Platform offers administrators and developers a comprehensive suite of platform services, empowering them to create smarter applications and tailor AI solutions for their enterprises. What is the designated name for Salesforce’s AI? Salesforce Einstein represents an integrated array of CRM AI technologies designed to facilitate personalized and predictive experiences, enhancing the professionalism and attractiveness of businesses. Since its introduction in 2016, it has consistently been a leading force in AI technology within the CRM realm. Is Salesforce Einstein a current feature? “Einstein is now every customer’s data scientist, simplifying the utilization of best-in-class AI capabilities within the context of their business.” Is Salesforce Einstein genuinely AI? Salesforce Einstein for Service functions as a generative AI tool, contributing to the enhancement of customer service and field service operations. Its capabilities extend to improving customer satisfaction, cost reduction, increased productivity, and informed decision-making. Salesforce Artificial Intelligence AI is just the starting point; real-time access to customer data, robust analytics, and business-wide automation are essential for AI effectiveness. Einstein serves as a comprehensive solution for businesses to initiate AI implementation with a trusted architecture that prioritizes data security. Einstein is constructed on an open platform, allowing the safe utilization of any large language model (LLM), whether developed by Salesforce Research or external sources. It offers flexibility in working with various models within a leading ecosystem of LLM platforms. Salesforce’s commitment to AI is evident through substantial investments in researching diverse AI areas, including Conversational AI, Natural Language Processing (NLP), Multimodal Data Intelligence and Generation, Time Series Intelligence, Software Intelligence, Fundamentals of Machine Learning, Science, Economics, and Environment. These endeavors aim to advance technology, improve productivity, and contribute to fields such as science, economics, and environmental sustainability. Content updated April 2023. Like1 Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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March 22, 2017in Artificial Intelligence, Data, Enterprise, Generative AI, Salesforce, Salesforce Einstein, Technology

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