For Universal Containers to report on trends in Knowledge Searching, User Activity, and Data Category Usage, installing the Knowledge Base Reports and Dashboard package is recommended. This package provides pre-built reports and dashboards specifically designed for analyzing Knowledge usage and performance, enabling UC's analytics team to gain insights into Knowledge program effectiveness.

To prevent agents from responding to cases from customers who are ineligible for support, adding the related Contact's Entitlement related list to the Case Lightning Record Page is recommended. This allows agents to quickly verify the customer's entitlement to support before proceeding with case resolution, ensuring compliance with support policies.

To ensure contracted service level requirements are met, configuring Entitlement Processes, Milestones, Milestone Actions, and Entitlements is essential. This setup allows for defining specific support processes tied to service contracts, tracking progress against milestones, and taking predefined actions to meet or exceed service levels, ensuring compliance with contractual obligations.

Given that all features in the Lightning Service Console are required but users find it too crowded, creating multiple console layouts tailored to different user roles or tasks is recommended. This allows for the customization of the console's interface to display only the most relevant information and tools for each specific use case, improving efficiency and usability for console users.

To enable real-time interaction between customers and support agents from computers and mobile devices, implementing an Einstein Chat Bot is recommended. Chatbots provide an immediate, interactive communication channel that can escalate complex issues to live agents, enhancing the customer support experience across devices.

For sending SMS messages between 175 and 255 characters, using SMS Long Code is recommended. Long Codes are standard telephone numbers used for longer text message communications, suitable for more detailed SMS interactions with customers while providing a more personalized experience.

To reduce call volume and resolution time within Service Cloud, implementing a comprehensive Knowledge base is recommended. Providing customers with access to self-service information through Knowledge articles enables them to find answers to common questions independently, reducing the need for direct contact with service agents and improving overall service efficiency.

For agents wanting to launch a Slack Swarm for difficult cases, recommending the creation of a Quick Action in Service Cloud is suitable. This Quick Action can be configured to initiate a swarm in Slack, pulling in experts from multiple departments efficiently, enhancing collaboration and problem-solving for complex cases.

When selecting articles for migration into Salesforce Knowledge, considering the last modified date and total number of article views in the last year is important. This ensures that the most current and frequently referenced content is prioritized, enhancing the relevance and utility of the knowledge base in Salesforce.

To provide different levels of support and ensure adherence to service-level agreements (SLAs), utilizing Entitlements is recommended. Entitlements define customers' rights to specific support services and SLAs, enabling Cloud Kicks to manage and enforce different support levels effectively, ensuring that agents deliver the appropriate level of service to each customer.

To continue improving support KPIs after implementing Knowledge-Centered Support (KCS), utilizing the Search Activity Gaps dashboard component is recommended. This tool helps identify topics for which customers are searching but not finding satisfactory answers, guiding CK's efforts in creating new or updating existing articles to address these gaps and further enhance customer satisfaction and support efficiency.

During the integration of a client's phone system with the Service Console, configuring the Computer Telephony Integration (CTI) Adapter is a critical step. This involves setting up the interface between the phone system and Salesforce, enabling features like click-to-dial, call logging, and screen pops within the Service Console for improved agent efficiency.

When additional requirements are discovered that impact the project's timeline and budget, preparing a change order to account for these requirements is the first step. This involves adjusting the project scope, timeline, and budget to accommodate the new requirements, ensuring that all stakeholders are aligned and informed about the changes and implications for the project's delivery.

For Universal Containers to manage different support processes and fields for two separate business groups, implementing Record Types is recommended. Record Types allow the creation of distinct page layouts for each business group, enabling customization of support processes and fields to meet the specific needs of each group, ensuring effective and organized case management.

To enable contact center managers to monitor messaging sessions and provide guidance to service agents, configuring the Omni-Channel Supervisor feature along with Whisper Messages is recommended. This setup allows managers to oversee agent-customer interactions in real-time and offer discreet advice to agents during messaging sessions, ensuring professionalism and accuracy in responses.

Using Data Category groups allows Cloud Kicks to organize their large volume of articles by product, making it easier for users to find relevant information. This method enhances the searchability and user experience of the public knowledge base by categorizing articles in a way that aligns with the company's product lines.

To enable support managers to provide real-time feedback to agents during customer chat sessions, configuring Omni-Channel Supervisor is advised. This feature allows supervisors to monitor active chat sessions, providing an opportunity to offer immediate guidance and feedback to agents, enhancing the quality of customer interactions.

For supporting attachments up to 25 MB and handling under 2,500 inquiries per day via free-form email, On-Demand Email-to-Case is the recommended solution. On-Demand Email-to-Case processes emails and attachments without requiring an email server, and is suitable for the specified volume and attachment size requirements, ensuring efficient case creation from customer emails.

For Service Console users who need to efficiently revisit cases worked on earlier, adding the History component to the Utility Bar is recommended. This provides quick access to recently viewed records, enabling users to navigate back to previous cases without keeping all cases open in tabs, enhancing productivity and case management efficiency.

For creating a secure, branded mobile app for Experience Cloud customers, utilizing Salesforce Mobile Publisher is recommended. This tool allows for the creation of a unified mobile app compatible with both Apple and Android devices, providing a seamless experience for customers to engage with the brand, track cases, and interact with the community.

To provide automated self-service on an ecommerce site for customers to check order status, creating an Einstein Bot is recommended. Einstein Bots can be integrated into websites and configured to provide real-time, automated responses to common customer inquiries, such as order status updates, enhancing the customer experience by providing instant access to information without human intervention.

To ensure service agents handling both chat and case processing are assigned an appropriate number of issues, Omni-Channel is the solution. Omni-Channel's capacity management features ensure that agents are not overloaded with work items, maintaining a manageable workload and improving efficiency and response times.

To meet the SLA of responding to incoming cases within 2 hours, assigning cases to queues and using Escalation Rules to escalate unassigned cases within 1 hour is the best practice. This approach ensures that cases are promptly assigned to the appropriate agents, and escalation rules help to prioritize and alert agents or managers to cases at risk of breaching the SLA, facilitating timely responses.

MuleSoft, as an integration platform, offers a robust solution for connecting Salesforce Service Cloud with other systems like order fulfillment, inventory, invoicing, and financial data systems. MuleSoft's Anypoint Platform enables seamless API-led connectivity, ensuring that data flow between Salesforce and external systems is secure, efficient, and scalable. This approach supports complex integration scenarios and facilitates real-time data exchange and process automation across disparate systems.

To address the issue of closed cases still owned by a queue, implementing a case validation rule is the most effective solution. This rule can enforce that cases must be transferred to an individual user's ownership before they can be marked as closed. This ensures data accuracy in reports and helps in evaluating agent performance more reliably, as cases will correctly reflect their final ownership status.

To meet the requirement of directing cases to live agents only during business hours and considering holidays, configuring the Einstein Bot with an action to check for Default Business Hours and active Holiday records is recommended. This ensures that customers are directed to submit a case form when live agent support is not available, maintaining service expectations.

For analyzing the time spent within each case status during the case lifecycle, the Case Lifecycle report type is recommended. This report provides a detailed view of the duration cases spend in each status, helping to identify bottlenecks and areas for process improvement to reduce average case age and enhance customer satisfaction.

For automating case creation and accommodating customers who upload digital pictures, Email-to-Case is the best practice solution. It allows customers to send emails with attachments, which are automatically converted into cases, including the digital pictures, streamlining the case creation process and improving response times.

To understand the disparity in customer satisfaction reports, measuring cases with and without Knowledge articles attached, and correlating them with high Customer Satisfaction (CSAT) scores can provide insights. This KPI could reveal whether the use of Knowledge articles directly impacts customer satisfaction, helping to explain the inconsistency between KPIs and customer testimonials.

To improve the efficiency of the repetitive task of closing cases and sending surveys, using Macros in Service Cloud is recommended. Macros automate repetitive tasks with a single click, significantly reducing the time required per case and increasing overall operational efficiency, especially with a high volume of cases.

Sharing a folder containing quick text translations for each language with the appropriate groups of service agents ensures that agents have access to common responses in the necessary languages. This approach facilitates efficient communication with customers worldwide and streamlines the management of translated quick texts.

For handling up to 5,000 new cases per day with the capability for customers to attach files under 10 MB, Web-to-Case is the recommended feature. This allows customers to submit cases directly through a web form, including file attachments, efficiently scaling case creation capabilities while reducing the workload on support agents.

To address the issue of duplicate cases from the same customers in different channels, enabling the Case Merge feature is recommended. This allows service agents to easily identify and merge duplicate cases, ensuring a consolidated view of customer issues and preventing redundant work.

A Dynamic Dashboard enables personalized data visualization for each viewer based on their Salesforce role or user specifics. For tracking first-call resolution by call center, a Dynamic Dashboard can be configured to display monthly historical metrics relevant to each call center. This approach allows the support manager to view data specific to each call center, ensuring the metrics are accurate and tailored to the manager's needs for analysis and decision-making.

For new Knowledge articles to be visible in selected channels after a review process, the necessary step is to click "Publish" post-approval. Once an article has been reviewed and approved by the designated subject matter expert, publishing the article makes it available to users across the specified channels. This ensures that only verified and approved content is accessible, maintaining quality and relevance.

Knowledge-Centered Support (KCS) focuses on integrating knowledge creation and maintenance into the problem-solving process. By adopting KCS, organizations can expect a reduction in issue resolution time as service agents have quicker access to solutions and knowledge articles, enabling faster responses to customer inquiries and issues.

Adopting a Knowledge Centered Support (KCS) methodology can lead to reduced issue resolution time as a key benefit. KCS emphasizes the creation, maintenance, and effective use of a knowledge base, enabling faster access to solutions and reducing the time needed to resolve customer issues.

For a scalable solution that allows support managers to see regional support metrics by default, creating a Dynamic Dashboard is advisable. Dynamic Dashboards display data according to the viewer's access permissions and role hierarchy, enabling each support manager to view metrics specific to their region automatically, without the need for multiple individual dashboards.

To improve agents' ability to find appropriate answers during chat sessions with customers, implementing Einstein Article Recommendations is recommended. This feature uses AI to suggest relevant Knowledge articles to agents based on the context of the chat, enhancing the efficiency of information retrieval and the quality of customer support.

To start AI efforts for improving case closure KPIs and product support planning, reviewing and addressing case data quality issues is essential before setting up Einstein Classification Apps. This approach ensures the AI models are trained on clean, reliable data, enhancing the accuracy of predictions for empty fields and overall effectiveness of the AI implementation in the Service organization.

To meet the requirement of routing cases based on language proficiency and knowledge area, Omni-Channel Skills-based Routing is the best solution. Skills-based routing allows cases to be directed to agents who possess the specific skills required to handle the case, such as language fluency and product expertise, ensuring efficient and effective case resolution.

To add functionality allowing customers to attach digital files to case records, Web-to-Case is recommended. This feature enables customers to submit cases through a web form, including the capability to attach files, facilitating the collection of additional information that can assist in case resolution.

Identifying and prioritizing the requirements for a minimum viable product (MVP) allows for a focused and phased approach to the Service Cloud implementation. This strategy ensures that the most critical functionalities are developed and deployed first, providing immediate value while allowing for iterative enhancements based on feedback and additional requirements.

For a full Incident Management, Swarming, and Change Management process that includes interactive recommendations, implementing flow orchestration with Work Guides is recommended. Work Guides provide step-by-step guidance and can orchestrate complex processes across departments, ensuring adherence to auditing and governance requirements while offering interactive, context-specific recommendations.

To enable case creation without login while preventing spam, using Web-to-Case with reCAPTCHA enabled is recommended. reCAPTCHA provides an additional layer of security by verifying that case submissions are made by humans, effectively reducing the likelihood of spam cases and maintaining the integrity of case data in Salesforce.

To address the issue of high-priority cases exceeding service deadlines, configuring Secondary Routing Priority in Omni-Channel is recommended. This setting allows prioritization of high-priority work items, ensuring they are routed and addressed by agents promptly, in alignment with SLA commitments.

To provide customers with access to their agreed-upon response times via the portal, configuring Service Contracts in Experience Cloud is advisable. Service Contracts can detail the specific service levels agreed upon, and making this information accessible through the portal ensures transparency and sets clear expectations for service delivery.

For providing resellers with a secure portal to share customer accounts, submit and track cases, and view reports, implementing a Partner Experience site is recommended. This solution offers a collaborative platform tailored for partners, enhancing communication, case management, and access to vital information, strengthening the partnership ecosystem.

To show service agents when items were started, paused, resumed, and completed in Einstein Next Best Action, configuring the Actions & Recommendations component is recommended. This component provides visibility into the actions taken on a case, including the status of each action, enhancing transparency and collaboration among agents working on the same case.

For managers at Cloud Kicks who need to update the Case Type field for multiple cases at once using list views, utilizing a mass Quick Action is the recommended Service Console productivity tool. Mass Quick Actions allow users to make updates to multiple records simultaneously from a list view, streamlining the process of updating case information and enhancing efficiency in case management workflows.