Case Study · Governed Rollout
Allegro tested its AI shopping assistant on 600,000 users before rolling it out to everyone
What happened
Allegro, Poland's largest e-commerce platform, built a conversational AI assistant to complement its search engine - letting shoppers describe a need or a problem in natural language instead of filtering through listings manually. Rather than launching to its full user base immediately, the company ran a pilot starting in late 2025 with over 600,000 buyers.
Only after months of testing did Allegro make the assistant available to everyone in its mobile app. The staged approach let the company observe how people actually used conversational search - and adjust - before betting the feature on the platform's full 20-plus million active buyers.
The business problem
The company wanted to add an AI-driven feature to its core shopping experience without risking a bad first impression at full scale.
Why it worked
- A phased pilot-then-rollout structure catches problems while the blast radius is still small
- Real usage data from a meaningful pilot group beats guessing at how customers will actually use a new AI feature
- Staging a rollout doesn't have to mean moving slowly - 600,000 users is a serious test, not a token gesture
- Define the quality gates a pilot has to clear before it graduates to full launch