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Enhance Customer Experience and in-store sales assistance with Generative AI
How GenAI enhances Customer Experience and Sales Assistance
Customer expectations are evolving rapidly. Today, shoppers expect simple, personalized and consistent experiences across every touchpoint, from digital channels to physical stores. At the same time, companies need to equip in-store teams with up-to-date, accessible and contextualized information.
In this scenario, Generative AI in Retail opens up new opportunities to enhance customer experience and make sales activities more effective. By connecting intelligent assistants to enterprise data and systems, companies can support customers and sales associates throughout the entire purchasing journey, providing:
- personalized recommendations
- instant answers to customer requests
- quick access to enterprise knowledge
- support for purchasing decisions.
The result is a smoother and more engaging experience for customers, both online and in store, combined with greater operational efficiency for sales teams.
The AI assistant can interpret users’ preferences, needs and goals, helping them compare options and choose the solutions that best fit their requirements.
This enables companies to:
- make product discovery easier
- provide personalized recommendations in real time
- enhance the overall shopping experience
- drive conversion, upselling and cross-selling.
The result is a more intuitive and engaging shopping experience that guides customers through their choices while strengthening the relationship between them and the brand.
Rethinking the online shopping experience with Generative AI
The growing volume of products and information is making it increasingly complex to navigate the online shopping journey. Customers are looking for immediate answers, easy comparisons and personalized recommendations tailored to their needs.
AI-powered e-commerce assistants introduce a new way to support product discovery and purchasing decisions, bringing together information from different enterprise sources, including: product catalogs, active promotions and offers, availability and loyalty programs.
Deliver more effective and personalized in-store sales assistance with GenAI
In physical stores, customer experience depends largely on how quickly sales associates can access the right information and turn it into valuable advice.
AI-powered in-store retail assistants give sales teams a new way to deliver customer advice based on enterprise knowledge. Through natural language interaction, the conversational assistant gathers and interprets information from multiple enterprise sources, including:
- product catalogs
- CRM systems
- inventory availability
- promotions
- commercial information.
Sales associates can quickly access information about product features, available alternatives and sales opportunities without having to manually search across different systems.
This enables them to:
- reduce the time spent searching for information
- improve the quality of customer advice
- deliver more personalized recommendations
- spend more time building relationships with customers.
Technology does not replace the role of the sales associate. Instead, it empowers them to make every customer interaction more effective and relevant.
The benefits of intelligent assistants for businesses
Adopting AI-powered intelligent assistants enables companies to enhance the shopping experience and improve sales performance.
By integrating data, enterprise knowledge and existing systems, intelligent assistants help companies:
- deliver personalized and consistent experiences across all channels
- increase customer engagement and loyalty
- reduce the time needed to find information
- improve the effectiveness of sales interactions
- unlock the value of enterprise knowledge
- support upselling and cross-selling initiatives
- accelerate sales team training.
AI becomes a practical tool for enhancing customer experience, empowering sales teams and delivering measurable business results.
Looking ahead: towards a new generation of intelligent AI assistants
The evolution of Generative AI is paving the way for increasingly autonomous, contextual and proactive forms of assistance.
Future AI Agents will not only be able to respond to specific user requests, but also anticipate needs, suggest actions and support customers and sales associates at every stage of the customer journey.
Integrating specialized agents, real-time data and enterprise systems will enable companies to create increasingly personalized and relevant experiences. The goal will not be to replace human interaction, but to enhance it by providing people with the information, insights and recommendations they need to make better decisions, faster.
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5 questions to...
Luca Terreno
Interview with the Retail & Fashion Senior Client Manager of Engineering.
FAQ
AI helps sales associates and consultants access real-time information about products, availability, promotions and customer preferences. When integrated with CRM, ERP and enterprise catalogs, it enables faster, more personalized customer advice, improving both the in-store experience and sales effectiveness.
Engineering's most advanced AI assistants are based on a multi-agent architecture. A Virtual Agent coordinates specialized agents that access data from CRM, ERP, product catalogs and other enterprise sources. Each agent contributes specific expertise and information, while the orchestrator manages the overall process to provide complete, contextual and reliable answers through a single interaction.
This approach improves response quality, speeds up access to information and strengthens the ability to support operational and commercial decision-making.
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