Show relevant content for personalized shopping
Important
Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned
| Enabled for | Public preview | General availability |
|---|---|---|
| Users by admins, makers, or analysts | Jan 2025 | Mar 2025 |
Business value
Conversational experiences present an opportunity to deliver tailor-made interactions for shoppers. By understanding the customer's preferences, the chatbot can provide content that resonates with them, thereby increasing engagement and the likelihood of making a purchase. This heightened commitment contributes to greater customer satisfaction, loyalty, and a stronger connection between the customer and the chatbot.
The incorporation of the copilot template for personalized shopping empowers the chatbot to boost sales and revenue but also optimize the conversion funnel and elevate the average order value. By harnessing natural language processing and machine learning, the chatbot can craft personalized, persuasive, and compelling messages that significantly influence the shopper's decision-making process. Moreover, personalization extends beyond transactional benefits; it plays a crucial role in enhancing the retailer's brand image and reputation.
The insights derived from shoppers' responses to personalized content are invaluable. In chat interactions, customers not only disclose their product preferences but also share challenges and values. This data becomes instrumental in building a comprehensive understanding of shoppers, leading to improved recommendations across all channels and enhancing the overall shopping experience.
Feature details
Each retailer can keep its existing personalization system and have their powerful copilot template for personalized shopping. The copilot template for personalized shopping suggests items relevant to the user before their first query. The shopper chat history is analyzed to create additional insights about the shopper. Those insights are shared with the retailer’s personalization system.
The copilot template for personalized shopping:
- Correctly uses the shopper’s name and pronouns.
- Leverages the user’s order history to find items that they like.
- Uses order history to know what items a user owns and recommend others that complement them.
- Suggests items the user has purchased before.
- Delivers personalized offers on similar items to ones purchased before to help the user experience new brands.
- Explains how the newly recommended items compare with items the user has previously purchased.
- Uses the shopper’s location and weather to suggest seasonally appropriate items.
- Uses the dietary needs of the shopper and other people in their lives when designing shopping menus.
- Uses the shopper’s current vehicles to suggest appropriate spare parts to them.
- Uses the shopper’s location to help them find local stores that have the product they need.