Recommendation engines
Personalised product recommendations from browsing, purchase, and behaviour signals. Standard e-commerce uplift play.
Industry
Production AI for retail businesses ready to compete on data.
78% of retail SMBs now use AI in some part of operations. We build AI search, recommendations, customer service agents, and demand forecasting for retail businesses that can't out-spend Amazon but can out-execute them.
Six application areas where we ship production AI in this industry, chosen against the operational realities, not the buzzwords.
Personalised product recommendations from browsing, purchase, and behaviour signals. Standard e-commerce uplift play.
Semantic search with generative answers. Customers find what they want faster, standard conversion lift.
AI handling returns, sizing, promo queries. Escalates complex cases to humans.
SKU-level forecasts blending sales history, seasonality, weather, and social signals. Closer to the inventory truth than rolling averages.
Descriptions, alt text, A/B-testable variants, and category-page copy generated against your brand voice, with a human review queue before publish.
Two-sided platforms with onboarding, fulfilment, dispute, and review workflows. Patterns proven with Equipp's B2B and B2C rental marketplace.
Yes. Equipp (Ralco Group) is our production rental marketplace for IT hardware. We've also built AI personalisation and search for retail SMBs.
Yes. Common integrations: Shopify, WooCommerce, Magento, BigCommerce, custom platforms. Via official APIs or app-store apps.
AI search and recommendations typically show conversion uplift within 2-4 weeks of go-live.
A single AI feature: recommendations, search, support, or content, ships in 8-12 weeks. A multi-feature retail AI suite that spans storefront, support, and merchandising runs 12-20 weeks with A/B test windows built into the rollout.
We'll listen first, ask the right questions, and follow up with a clear proposal.