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Product sheets, customer support, marketplaces, returns, acquisition — your processes run in the background while you arbitrate offer, margins and growth. Strategic time reclaimed + CAC reduced + cart size growing.
E-commerce 2026 faces three simultaneous pressures: rising CAC (Meta, Google, TikTok), compressed margins (competition, returns, marketplaces), and competition from AI-driven players (Amazon, Shein, AI-first pure players).
E-commerce operators who orchestrate AI + human produce product sheets 5 to 10 times faster, handle level 1 support without hiring, and deploy abandoned cart sequences that recover +15 to +25% of lost revenue. Without automation, the gap widens month after month.
An e-commerce owner spends on average 60% of the week on operational tasks (sheets, support, marketplaces, reporting) an AI + human-in-the-loop workflow can absorb. That’s 60% less time on strategy, offer, supplier negotiations and growth.
Write 500 to 5,000 product sheets (title, description, attributes, SEO tags, EN translation), maintain brand consistency, update each season: endless task, often delegated to a junior or freelancer without product context.
« When will my order arrive? », « How do I return? », « Compatible with my model? »: 60-80% of tickets are repetitive. Without automation, 20-40h/week mobilized by an agent who should handle complex cases.
Catalog to push to each marketplace with its format, multi-channel stock management, dynamic pricing, returns flowing into each tool: permanent headache mobilizing 1 FTE as soon as you exceed 2-3 marketplaces.
Extract Shopify + Google Ads + Meta Ads + marketplaces, cross with real margins (purchase + logistics + returns), identify profitable vs loss-making SKUs: 10-15h/month without time to act on conclusions.
Rising CAC on Meta and Google, blurry multi-touch attribution, abandoned carts not reworked, generic retargeting: 20 to 40% of potential revenue left on the table. With an AI acquisition + retargeting workflow, CAC drops 15-25% and LTV rises 20-40%.
Six workflows already deployed with our clients. Each starts with calibration on your products and keeps systematic human validation.
Input: supplier feed or catalog import. Output: optimized sheets (SEO title, long description, Google Shopping attributes, Open Graph tags, EN/DE/ES translation). Tone calibrated on your brand. Production ×10 at constant headcount, human validation on 100% before publication.
Bot calibrated on your product knowledge base, FAQ, delivery/return terms. Automatic escalation to human for sensitive cases. Compatible Zendesk, Intercom, Gorgias, Front. Typical gain: -60 to -80% level 1 tickets handled by humans.
Auto catalog push to Amazon, Cdiscount, Manomano, Fnac, Rakuten. Multi-channel stock management, stockout alert, dynamic pricing per competition. Single dashboard. More than 1 FTE saved from 3+ marketplaces.
Shopify + Google Ads + Meta Ads + marketplaces + ERP connectors. Net margin calculation per SKU (purchase + transport + returns + ads), top winners / top losers, alert on negative SKUs. Defensible catalog decisions.
Email sequence personalized by cart, purchase history, inferred intents. Image generated if needed, calibrated tone. Compatible Klaviyo, Brevo, ActiveCampaign. Typical recovery: +15 to +25% abandoned carts converted.
AI reco engine on product page, cart page, home page, post-purchase email. Cross-sell and upsell calibrated on real behavior. Typical effect: average cart +8 to +15%.
Acquisition cost (CAC) on Meta and Google rises every year. Here are 4 AI workflows to acquire more, pay less per lead, and make your existing base work.
Semantic silos on product categories, Product + Offer + Review schema, GEO optimization (citations in ChatGPT, Perplexity, Google AI Overviews). Qualified organic traffic at near-zero CAC, on long term. Compatible Shopify, WooCommerce, PrestaShop.
Personalized sequences per segment (new visitor, past buyer, abandoned cart, post-purchase). Subject/CTA variants generated and A/B tested. Typical effect: +15 to +25% abandoned carts recovered, +30% LTV.
Analysis of your CRM database: behavioral segmentation, enriched lookalikes, low-value exclusion, prospect scoring by expected value. Output: more precise Meta and Google audiences = CAC -15 to -30%.
For e-com with high ticket or B2B branch: qualified prospect detection (companies matching your ICP), personalized LinkedIn + email sequences with prospect business context. For pure B2C, this case is skipped.
Stéphane Jambu spent 10 years in e-commerce before switching to SEO in 2009 — he knows your daily life from the inside. 650+ clients served, 80 LinkedIn testimonials, 1,300+ semantic silos in production. Your workflows are calibrated by someone who’s been on both sides of the P&L.
Python + n8n + Claude / DeepSeek / OpenAI API. Shopify, WooCommerce, Magento, Amazon MWS/SP-API, Cdiscount, Manomano, Klaviyo, Brevo connectors. EU hosting (Hetzner). No no-code SaaS that vanishes at the next pricing change.
No product sheet published without review. No price modified in bulk without diff review. No email sent without validation. Your workflows respect your level of control.
No SaaS-dependency. We install a sovereign AI stack you own: your code, your prompts, your n8n workflows, your API keys, your catalog database, your customer data. You keep full control. No lock-in: if you want to bring it in-house or change vendor, everything already belongs to you.
Catalog diagnostic (volume, sheet quality), support (ticket volume, % level 1), marketplaces (sync, stockouts), reporting (gaps). Identification of 3 highest-ROI workflows for your situation.
Building the first AI workflow (often: auto product sheets or level 1 support). API connectors, tone calibration, tests on 20-50 sheets or 100 real tickets.
Implementation of the two other prioritized workflows (e.g., abandoned cart retargeting + SKU margin reporting). 2-iteration cycle with user feedback.
Final validation, pilot dashboard (time saved, CAC, conversion, average cart), internal team training, deployment plan.
Quick estimate of monthly time freed by AI orchestration + associated monetary value.
Coefficients: 1/12 of catalog reworked per year (seasonal refresh), 65% of level 1 tickets absorbed by AI, 85% time saved on product sheets.
Estimate of additional revenue generated by AI acquisition, retargeting and recommendation workflows.
Hypothesis: conversion uplift via on-site recommendations + abandoned cart retargeting + qualified content. Typical observed effect: +0.3 to +0.8 pt conversion in 90 days.
The initial diagnostic is free. If the potential is confirmed, an AI e-commerce pilot can be launched from €2,900.
Live audit of your e-com stack and potential estimate.
Setup of 3 priority AI workflows on your real data, with systematic human validation.
Additional workflows, advanced integration, team training, pilot dashboard.
The diagnostic is free, remote, no commitment. We look at your catalog, support tickets, stack (Shopify/WooCommerce/Magento), acquisition channels, and estimate the potential.
Book my free diagnostic