Reported impact
Business outcome
Target created a reusable internal generative AI capability, improved employee support in stores, and made digital discovery more personalized and easier for shoppers across product pages and gift-finding experiences.
- Customer Experience
- Productivity Improvement
Solution
Target worked with Bain's product, data science, engineering, and strategy teams to stand up a repeatable generative AI capability and launch several applications. Store Companion is a proprietary chatbot that answers process questions, coaches new team members, and supports store operations management. Product Display Pages use generative AI to improve hundreds of thousands of Target.com listings with review summaries and better titles and descriptions so guests can find items faster. Bullseye Gift Finder serves personalized recommendations across web, mobile, and app experiences based on attributes such as age, hobbies, and favorite brands. Together, the tools show an operating model in which internal retail questions, product content, and guest shopping prompts flow into different serving layers on shared enterprise infrastructure. The source does not name a storage platform, but it explicitly says Bain helped Target create the internal infrastructure needed to experiment and scale.
Data flow
Operational questions from store teams, product catalog content, review data, and shopper preference prompts feed separate Target use cases. Store Companion returns internal guidance for employees, Product Display Pages rewrites ecommerce content on Target.com, and Bullseye Gift Finder serves personalized recommendations across web, mobile, and app channels.