AI Agent for Retail: Custom Shopping Assistant Case Study
Business Challenge
Modern retail customers expect immediate answers, personalized recommendations, and seamless shopping experiences across digital channels. At the same time, retailers manage thousands of products, multiple categories, different store locations, and a constant flow of customer inquiries.
The client’s team spent significant time answering repetitive questions about product availability, specifications, store locations, pricing, and recommendations. These routine interactions slowed down the customer journey and limited the team’s ability to focus on more valuable customer interactions.
The company needed a scalable retail AI-agent solution capable of automating customer support, simplifying product discovery for building materials and hardware, and increasing conversion — without expanding the customer service team.
Solution
Devlight developed a conversational AI-agent that acts as a digital shopping assistant, helping customers throughout every stage of the purchasing journey.
The AI-agent understands customer intent, recommends relevant products, compares alternatives, checks real-time availability across physical stores, and personalizes recommendations based on customer preferences and purchase history.
Unlike traditional chatbots, the solution maintains contextual conversations and adapts recommendations dynamically, creating a shopping experience that feels natural and personalized.
Integrated into the retailer’s existing digital ecosystem, the AI-agent delivers instant responses 24/7, reduces operational workload, and enables businesses to handle hundreds of customer conversations simultaneously.
KEY FEATURES AND VALUE
Results by the numbers
Key statistics demonstrating the business impact of implementing an AI-agent in retail.
