Direct definition: We apply AI to catalog, search, recommendation, conversion, personalization, service and ecommerce operations. Customer experience, inventory, margin and behavior are connected to grow relevance and profitability.
The challenge
Personalization cannot ignore inventory, margin, returns or context. We prioritize cases solving genuine friction and measure incremental impact to avoid apparent improvements merely shifting a sale that would have happened anyway.
How we work
- Assessment of funnel, catalog, search, data and operations.
- Use-case prioritization by value, feasibility and economic contribution.
- Integration, experimentation, incremental measurement and scale.
Application example
A retailer reduces zero-result searches by enriching attributes and interpreting semantic intent. Recommendations balance affinity, inventory and margin. Tests measure conversion, order value, returns and profit to avoid optimizing a single metric.
How it is measured
- Incremental conversion and revenue
- Order value and margin
- Zero-result searches
- Repeat purchase and customer value
Frequently asked questions
Must the platform be replaced?
Not necessarily; data, experience and integrations can improve.
How is impact proven?
With controlled tests and economic metrics, not only clicks.