A selection of representative engagements across categories. Figures reflect typical outcomes from our work; specifics vary by client and starting point.
A mid-market apparel retailer faced a 38% return rate driven by sizing uncertainty, eroding margins and inflating support volume.
We built a conversational fit finder backed by garment data and purchase history, integrated into the PDP and guided-selling flow.
A specialist electronics store had a 19% zero-result search rate and search-driven conversion well below site average.
We replaced keyword search with an intent-aware semantic engine, added merchandising controls and tuned ranking against conversion data.
A fast-growing beauty brand's support team was overwhelmed by repetitive order-status and routine product questions.
We deployed an AI agent for deflection plus an agent-assist tool drafting replies with full order context and brand-safe guardrails.
A home-improvement retailer saw shoppers stall on complex, high-consideration products with many compatibility rules.
We designed a hybrid rule + LLM product finder that asks the right questions and recommends compatible bundles with confidence.
“The thing that stood out was the focus on outcomes. Every conversation came back to the metric we'd agreed — and the metric moved.”
Director of Digital · multi-brand retailer
Book a free 30-minute consultation. We'll map the highest-ROI AI opportunities for your store — no obligation, no jargon.