Every visitor unique.Every suggestion perfect.Your revenue climbing.

Tuesday, 9:17 PM. Your CMO stares at GA in silence in the meeting room. 84% of visitors bounced on the home page, 7% on the product page, 1.2% added to cart, 0.3% paid. The Black Friday campaign cost $47,000 in ads. On the site, the home page shows the same 6 products it has for three months: the ones that worked best in September. But today, the visitor who came for sneakers gets dress shoes. The visitor who's returned twice this week sees exactly the block they already ignored. You read the report and you know: the storefront never met anyone.

McKinsey Digital puts the impact of true personalization at +10 to 30% revenue for e-commerces moving from rule-based to real-time, and a 5 to 8x ROI on acquisition budgets. Forrester estimates that 76% of B2C consumers will leave a brand that doesn't personalize the experience. And Statista projects the global recommendation engine market will hit $17.3B by 2028, a 32% CAGR since 2024.

Wikolabs installs AI systems built on open-source models, on your premises, paid once. No black box: your data, your prompts and your history stay in your infrastructure. We quote at a fixed price or on time and materials, never per ticket or per token, and we say before you sign what works and what does not yet.

Concretely: a few lines of JS on Shopify, WooCommerce or PrestaShop, 24 to 48 hours for the AI to learn your catalog and purchase patterns. From there, every visitor sees recommendation blocks computed in under 100ms based on their actual session (history, clicks, dwell time, cart). Built-in A/B testing, statistically significant results in days. Documented on our customers: +35% conversion rate, +48% average basket.