Ecommerce & Retail
Boosting online stores and omnichannel retailers
Static "you might also like" blocks pinned to categories. Zero 1:1 personalization, zero AOV impact.
Campaign spikes, BFCM, sales — support teams drown. SLA drops, conversions plummet, NPS dies.
Thousands of SKUs carrying flat descriptions or empty specs. Missing SEO means zero organic sales.
Quarterly price updates while competitors, costs, and demands move weekly. Margins lost on both ends.
01
Recommendations, home banners, listing arrangements, and remarketing emails adapted per user based on individual behavior and lookalike clustering.
What changes
Conversion lifts between 5-18% and AOV rises 4-12% without touching traffic spend.
02
Assistant knowing your real-time inventory, policies, and order statuses responding via web/WhatsApp/email. Resolves trivial queries and closes sales, escalating complex issues.
What changes
Repetitive tickets drop 50-70%. 100% immediate SLA. Conversions rise on chat-initiated sessions.
03
Generating rich descriptions, structured tags, image alt-texts, translations, and SEO metadata from raw technical sheets or images. Months of manual work done in days.
What changes
Time-to-market shrinks from weeks to days. Organic traffic lifts via better on-page SEO. Copy teams shift to campaign logic.
04
Model recommending SKU-level price adjustments via demand, stock, available competitor data, and historic elasticity. Triggering promotions only where they actually drive incrementality.
What changes
Marginal recovery on underpriced hot-sellers and stock velocity on slow-movers. Promos stop eating margins unnecessarily.
05
Retailers with supply chains: forecasting at the SKU/Store level weekly. Seamlessly feeding purchasing sheets and intra-store shifts.
What changes
Stock excess drops 20-30%. Out-of-stocks minimize. Liquid cash freed from the warehouse.
2 weeks
Funnel, UX, and catalog audit. Pinning down the 2-3 most defensible ROI use cases for your volume stack.
6-8 weeks
The fastest ROI bundle for mid-sized stores: real-time recommendation engine + conversational support linked to CRM.
4-6 months
Consolidating AI over the full lifecycle: personalization, support, enrichment, pricing, and forecast.
Yes, with all. And PrestaShop, BigCommerce, Headless. We rely on catalog feeds, tracking events, and platform APIs. The blocker is usually feed data quality, not the platform itself.
Defensible real-time personalization needs ~30k-50k sessions/month minimal. Below that, heuristic personalization works better, and we advise starting via catalog enrichment/conversational support instead.
Strict 4-8 week A/B testing against baseline tracking incremental revenue/session. If uplift fails to clearly defend the investment, we say so, and cleanly pivot strategy.
Diagnosis: €4k-€7.5k. Pilot (Personalization+Support): €25k-€45k. Full Platform: €80k-€160k. Tied directly to a 12-18 month business case justification.
If grounded on actual technical data, absolutely. Pure LLM hallucinated padding hurts. We ground strictly to real facts and require batch approvals from your team before anything goes live.