Illustrative AI-created breakfast scene with a kettle, toaster and ceramic mug.

CHANNELSIGHT.AI / CUSTOMER STORY

RKW

Automating content checks and turning retailer reviews into useful product insight.

01 / BEFORE

Manual audits could not match the scale of the catalogue.

An extensive retail network and an evolving product range made manual monitoring difficult to sustain.

A large and changing range

More than 4,500 SKUs and an extensive retail network made manual auditing impractical.

Different retailer content requirements

The team needed to check that each retailer displayed the available product content correctly.

Feedback spread across retailers

Product teams wanted to learn from a broad range of consumer reviews.

02 / AFTER

Shared content and customer insight across the business.

Content Compliance and Ratings & Reviews provide manageable data for teams across the organisation.

Automated compliance checks

Retailer-specific rules help the team check images, videos and other product content.

Ratings and sentiment analysis

Keyword analysis helps identify preferences, recurring issues and opportunities for product development.

Reports shared across departments

Marketing, merchandising, customer service and product teams can analyse the data for their needs.

The impact

Accessible reporting supports marketing, merchandising, customer service and product development. Teams can check retailer content and use consumer feedback to guide their next actions.

Case Studies

Real brands, real revenue

The proof is in the numbers. See how leading brands use ChannelSight to turn product discovery into retailer sales, from shoppable campaigns to full path-to-purchase visibility.