The challenge
“Shoppers can’t find the product they’d have bought.”
Customers signal intent constantly through what they search and browse, but most storefronts respond with static results or generic “popular items”. The right product is in the catalogue; it just never reaches the customer at the moment they would have bought it. The cost is lost conversions and smaller baskets.
How we solve it
adBrain brings its machine learning & decisioning expertise, on a real-time event-processing foundation, to read live intent and surface the right product in the moment. The model interprets the customer’s current signal, ranks candidates for relevance, and presents the best option in context, then learns from what converts, so relevance holds as the catalogue and behaviour change.
We deploy it into your environment and give you the source code with the right to modify it.
What you get
- Relevant recommendations at the point of intent, not after the customer has left.
- A model that keeps learning from real conversions.
- Techniques that extend to cross-sell, personalised search, and offline recommendation.
- A private deployment in your own environment, yours to run.
Proof
See this expertise in production in our online product recommendation project.