Sales teams track their personal quota, their team quote, forecast gaps, and likely deals in their pipeline in a dashboard.

Agentforce for
Retail

Grow revenue and relationships with agent-first Retail. Unleash digital labor with Agentforce to resolve customer inquires 24/7, increase personalization, and optimize campaigns end-to-end.

See how top retailers are using Agentforce for Retail.

Building Blocks of Agentforce for Retail

With Agentforce for Retail, your AI agents can address unique retail needs and challenges:

Personal Shopping Assistance
Customer Service Support
Return Management

With Agentforce for Retail, your AI agents can leverage retail data models, resulting in deeper grounding and better accuracy. Some examples include:

Inventory managment
Order management
Product catalog

Actions are predefined tasks that an agent can perform to fulfill their job based on a trigger or instruction. Some examples include:

Update order
Initiate return
Product suggestion

With Agentforce for Retail, your AI agents can seamlessly access data from various systems instead of

Inventory
Point of Sale (POS)
Loyalty Management

Start with pre-built Agentforce skills for your business needs.

Resolve customer inquiries 24/7.

Agentforce engages customers autonomously across channels 24/7 in natural language. It can resolve cases swiftly and accurately because every answer is grounded in trusted data. Set up a set of pre-built skills to empower Agentforce to support customers in minutes or customize fast with low-code. Define clear security guardrails and when to seamlessly escalate to human employees.

Build and customize retail AI agents swiftly for any use case.

Handle any business case. With Agentforce , you can quickly create any agent from scratch using a wealth of industry data, processes, and functionality.

AI Prebuilt for your Industry
Quickly start using AI for industry without having to build anything from scratch.

Low Code Tools for Quick Customization
Build custom agents with clicks not code and implement swiftly.

Built-in Data Security
Take advantage of Einstein Trust Layer for data privacy and security along with industry specific regulatory compliance.

Agentforce for Retail FAQs

AI agents in retail are sophisticated artificial intelligence systems designed to enhance customer experiences and optimize operations. These tools can handle tasks like presolving customer inquiries, offering personalized product recommendations, and creating and optimizing marketing campaigns. By using machine learning (ML) and natural language processing (NLP), AI agents provide 24/7 support, improve efficiency, and drive sales, making them valuable assets for modern retailers looking to stay competitive.

Agentic AI in retail refers to autonomous AI systems that act on behalf of retailers or customers to perform specific tasks. These agents can autonomously make decisions, such as handling returns, recommending products, or optimizing marketing campaigns. Agentic AI operates with a high degree of independence, using real-time data to adapt to changing conditions and customer needs, ultimately enhancing operational efficiency and customer satisfaction.

Retail AI agents offer numerous benefits, including enhanced customer service through personalized recommendations and 24/7 availability. They also improve operational efficiency by automating routine tasks, reducing human error, and providing real-time insights, while freeing up store associates for more high-value interactions with customers.

Additionally, AI agents can help in inventory management, predicting stock needs and minimizing waste. By analyzing customer data, they can identify trends and preferences, enabling targeted marketing and increased sales. Overall, they create a more seamless and engaging shopping experience, boosting customer satisfaction and loyalty.

Agentic AI in retail enhances a variety of use cases across retail organizations. These include:

  • Autonomous customer support: Agentic AI makes it possible to offer 24/7 dynamic support agents that can resolve complex issues and even anticipate customer needs based on behavior and history.
  • Dynamic pricing and promotion: Agents take guesswork out of pricing adjustments based on factors like demand, inventory, competitor activity, and customer behavior.
  • Personalized marketing and shopping assistance: Agentic AI can create and deliver marketing messages and product recommendations tailored to a customer’s preferences and behaviors. 
  • Inventory and supply chain optimization: AI can forecast demand across locations and identify supply chain disruptions early. It can also help shift resources to avoid stockouts or overstocks for a leaner, smarter inventory model that reduces waste and improves availability.

Agentforce for Retail is a comprehensive Salesforce solution that transforms the entire retail organization. It integrates real-time data and customer insights across all departments, from sales and marketing to inventory management and customer service. By providing a unified platform, Agentforce enhances collaboration, optimizes operations, and drives personalized customer experiences. This holistic approach ensures that every touchpoint is seamless, boosting efficiency and customer satisfaction throughout the retail ecosystem.

Agentforce for Retail streamlines retail operations by enhancing customer service, optimizing workforce management, and improving sales performance through real-time analytics, scheduling, and training modules.

Agentforce delivers strategic advantages across the retail value chain including:
-Improved efficiency and decision-making to enhance both the customer experience and the bottom line. 

  • Hyper-personalization at scale, continuously learning from customer behavior to deliver accurate recommendations. 
  • Streamlined operations and reduced costs by spotting inefficiencies and correcting them instantly. 
  • Clear, data-driven actions faster than ever before to accelerate decision-making.

Disclaimer: Salesforce pre-built Agentforce capabilities are constantly being enhanced based on customer feedback and may not reflect actual product details. Solutions may not be currently available, delivered on time or at all. Customers should make purchase decisions based upon solutions that are currently available.