Recommendation engines, demand forecasting, and commerce platforms that convert.
We build the systems behind personalization, pricing, and operational efficiency.
E-commerce at scale is a data problem disguised as a retail problem. We build recommendation engines, demand forecasting models, dynamic pricing systems, and commerce platforms that turn browsing into buying.
Why AI in E-commerce is different.
E-commerce generates more behavioral data per user than almost any other industry. Every click, scroll, hover, and cart action is a signal. 35% of Amazon's revenue comes from its recommendation engine. Most D2C brands are still showing "customers also bought" widgets that haven't changed since 2016.
The margin pressure is real. Customer acquisition costs have increased 60% over the past five years while average order values stayed flat. The brands that win are not spending more on ads. They are extracting more value from every visit through dynamic pricing, personalized merchandising, and demand forecasting that actually reduces inventory waste.
The difference between a 2% and 4% conversion rate is not better photography. It is search relevance, real-time personalization, and a checkout flow that adapts to the customer. That is an engineering problem, and we solve it.
The Problems That Slow You Down
Personalization that doesn't personalize
Your "recommended for you" section shows the same products to everyone. Conversion rates plateau because every customer gets the same experience.
Inventory forecasting by spreadsheet
Overstock on slow SKUs, stockouts on fast ones. Demand planning runs on last year's numbers and gut feel.
Omnichannel is a PowerPoint slide, not a reality
Website, app, marketplace, retail: inventory doesn't sync, prices don't match, and customer history doesn't follow.
Conversion optimization is A/B testing button colors
Real conversion gains come from search relevance, checkout friction, and personalized merchandising, not font size experiments.
Systems for E-commerce
Recommendation Engines
Product recommendations that improve with every click, using collaborative filtering, content-based, and hybrid models tuned to your catalog.
View service →AI-Powered Content
Product descriptions, marketing copy, and catalog enrichment generated at scale in your brand voice.
View service →Commerce Data Infrastructure
Unified data from Shopify, marketplaces, POS, and warehouse systems into one analytics layer.
View service →Mobile Commerce Apps
Native shopping apps with offline browsing, push-triggered promotions, and one-tap checkout.
View service →These aren't pitch deck scenarios. Every use case maps to a system pattern we've built and deployed in production.
What We Build in E-commerce
Return Fraud Detection
Head of Operations30% of returns are wardrobing/abuse. 15-20% fraud rate, $1M+/year for $50M GMV brands.
XGBoost on return patterns (frequency, categories, velocity) + image CNN for product condition matching.
Demand Forecasting
VP of Supply ChainManual SKU forecasts cause 25% stockouts/30% overstock for 5K SKUs; $2M/year excess inventory.
LSTM time-series on sales, seasonality, marketing spend, ERP/Shopify API integration for auto-replenishment.
Dynamic Pricing Engine
Director of Revenue OperationsStatic pricing misses 15% revenue on flash sales/competitor drops; manual adjustments lag hours on 1M visits/day.
Reinforcement learning on competitor scrapes, demand elasticity, inventory levels, with real-time API to storefront.
Abandoned Cart Recovery Agent
Head of Growth Marketing70% carts abandoned; generic email triggers lose $3M quarterly.
LLM agent crafts personalized nudges from cart data + browse history, multi-channel (email/SMS).
Visual Search & Discovery
VP of ProductText search finds under 30% relevant items; conversion drops 40% on mobile for 10K+ image catalogs.
CLIP multimodal embeddings on catalog images/uploads, vector DB integrated to search bar.
Customer Segmentation
Director of Customer InsightsRule-based segments miss 40% micro-niche buyers; CLV uplift capped at 10%.
Graph neural nets on RFM + behavioral graphs, LLM generates bundles/emails.
Supplier Lead Time Prediction
Supply Chain DirectorVendor delays hit 25% of orders; air freight at 5x cost for perishables ($500K/year).
Prophet forecasting on historical shipments, disruptions, weather, alerting the procurement dashboard.
Review Fraud Detection
Head of Marketplace Operations15-20% fake reviews erode trust, boost returns 10%, hurt SEO.
BERT NLP on sentiment + network analysis of reviewer graphs, auto-flagging for moderation.
Building the system is half the job. Growing the business around it is the other half.
How We Grow E-commerce Brands
AEO for Product Recommendations
Head of Ecom GrowthD2C loses 45% of "best moisturizer for dry skin" to ChatGPT/Perplexity without links.
Schema-rich PDPs with UGC/reviews, FAQ clusters, Perplexity monitoring to Shopify carts.
Meta Ads + HubSpot Nurture for Repeat Buyers
Director of Performance MarketingMeta CPL $15-25 with under 8% ROAS; 70% cart abandoners ignored.
Meta dynamic ads to HubSpot cart abandonment flows, RFM scoring for VIP nurture.
SEO + AEO for Category Pages
SEO Manager"sustainable activewear" ranks #5; AI summaries steal 25% traffic.
Category hubs with schema/products, UGC/backlinks, AEO for Gemini.
TikTok/Instagram Content Factory
Social Media DirectorD2C posts 3x/week; under 2% engagement, missing viral loops.
AI UGC clips (try-ons, hauls), hooks/hashtags, scheduled via Later, shop links.
HubSpot Abandoned Cart + Loyalty Automation
Ecom Operations Lead65% carts abandoned; no segmentation delays repeat purchases.
HubSpot cart/email workflows, loyalty RFM scoring, SMS upsells via Klaviyo sync.
How We Work With E-commerce
Machine Learning Solutions
Prediction systems that run 24/7. Not proof-of-concepts gathering dust.
Learn more →Generative AI Integration
Custom LLM applications, fine-tuned models, and content systems, architected for production.
Learn more →Data Engineering & Analytics
Your data is scattered across 15 tools. We wire it into one system that answers questions.
Learn more →Mobile App Development
iOS, Android, and web applications, shipped fast, built to last.
Learn more →Frequently asked questions
Shopify Plus, Magento, custom headless. We're platform-agnostic. We build on whatever runs your store and integrate AI alongside it.
Working prototype in 3-4 weeks with your catalog and transaction data. Production deployment with A/B testing: 6-8 weeks.
Yes. Semantic search, typo tolerance, synonym handling, and personalized ranking. Most clients see 15-25% search-to-purchase improvement.
AI moves fast. Stay ahead.
No spam. One actionable email per week on AI systems and growth.
Your catalog has 50,000 SKUs. Each one should sell itself.
Start with a conversion and data audit. We'll identify the highest-ROI opportunities in your commerce stack.