Sector · Ecommerce & Retail

AI applied to the cart
, not the deck.

You have traffic, behavioral data, and catalog scale. You lack the layer crossing all three in real-time to surge conversion, AOV, and retention. We layer onto Shopify, WooCommerce, Magento, PrestaShop, and Headless stacks driving P&L-direct results.

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Boosting online stores and omnichannel retailers
The Challenge

You have data. You need to stop having flat ROAS.

Ecommerce has exhausted the classic playbook — spending more on Meta/Google, UX checkouts, static cross-sells. The next wave is 1:1 personalization, answering support queries that actually close sales, true dynamic pricing, and continuously enriched catalogs. Now available to mid-market, not just Amazon.

Recommendations that don't recommend

Static "you might also like" blocks pinned to categories. Zero 1:1 personalization, zero AOV impact.

Support that cannot scale

Campaign spikes, BFCM, sales — support teams drown. SLA drops, conversions plummet, NPS dies.

Bloated, poorly described catalogs

Thousands of SKUs carrying flat descriptions or empty specs. Missing SEO means zero organic sales.

Static pricing in a lightning market

Quarterly price updates while competitors, costs, and demands move weekly. Margins lost on both ends.

Use Cases

Where AI pays for itself in an online store

Five cases heavily impacting core metrics: conversion rate, average order value, retention, support cost, and catalog velocity.

01

Real-time 1:1 Personalization

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

24/7 Conversational Support & Sales

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

Automated Catalog Enrichment

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

Dynamic Pricing and Smart Promos

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

Demand and Stock Forecasting

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.

Our Approach

Layering over your platform. Zero migrations.

We build over Shopify, WooCommerce, Magento, PrestaShop, and Headless architectures. Linking AI via API and feeds — no platform replatforming needed. We start by auditing which use cases cash-flow the fastest for your specifics.

Ecommerce AI Diagnosis

2 weeks

Funnel, UX, and catalog audit. Pinning down the 2-3 most defensible ROI use cases for your volume stack.

  • → Funnel and metrics teardown
  • → Catalog and SEO baselining
  • → Uplift estimations per case
  • → 12-month phased roadmap

Pilot: Personalization + Support

6-8 weeks

The fastest ROI bundle for mid-sized stores: real-time recommendation engine + conversational support linked to CRM.

  • → Real-time personalization engine
  • → Conversational catalog assistant
  • → Platform/CRM integration
  • → A/B testing against baselines
  • → Uplift dashboards

Full Complete Commerce Platform

4-6 months

Consolidating AI over the full lifecycle: personalization, support, enrichment, pricing, and forecast.

  • → All previous modules
  • → Automated catalog ingestion engines
  • → Smart dynamic pricing systems
  • → Supply chain forecasting
  • → Ongoing optimizations
Results

What changes in the store at 6 months

  • → Conversion +5-18% and AOV +4-12% against hard baselines (real project ranges, not marketing fluff).
  • → Repetitive support tickets slashed 50-70%; zero-wait replies 24/7.
  • → Catalog releases measured in days. Improved organic traction via rich copy.
  • → Recovered margins on mispriced SKUs without blanket margin-destroying sales.
  • → Optimized inventory: less excess, fewer stockouts, liberated liquidities.
  • → Teams stop doing data-entry templates and focus on pure creative/strategic criteria.
FAQ

What CMOs and Heads of Ecommerce ask us

Does it work with Shopify/WooCommerce/Magento?
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.
How much traffic do I need?
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.
How do you measure uplift?
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.
How much to start?
Diagnosis: €4k-€7.5k. Pilot (Personalization+Support): €25k-€45k. Full Platform: €80k-€160k. Tied directly to a 12-18 month business case justification.
Is generated SEO text actually acceptable?
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.

Ready to raise
conversions

without hiking ROAS? A 30-minute call running through your stack, funnel, and catalog size, identifying immediate AI leverage points.

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