AI Brain for Commerce
Use case 48BustlyUpdated

Turn multi-store reviews into an improvement backlog

Compare recurring customer feedback across stores and assign product or service follow-ups.

The context

Monthly reviews across several storefronts can reveal different expectations, usage problems and delivery experiences that an average rating conceals. The operator needs a complete site-by-site review, with product reviews kept distinct from store reviews and the reporting month aligned to local time.

The Bustly workflow

Bustly retrieves the available reviews, checks pagination and reporting boundaries, and organizes product and store feedback into themes. It delivers editable HTML reports with prioritized product and service improvements. Individual comments are treated as review signals, not estimates of the frequency of failures among all customers.

A prompt to adapt

Review last month's feedback across our storefronts, checking pagination and local month boundaries. Keep product and store reviews separate. Summarize expectation, usage, reliability and delivery themes, then produce editable reports with prioritized improvements and sample limitations.

Available actions depend on connected tools and permissions. Confirm the scope and authorization before publishing, sending messages or changing spend.

Adapted from real operating tasks. Customer identifiers and sensitive business details are omitted. The workflows are examples, not promises of business results.