AI Integration for Ecommerce

Shoppers Find What They Want.
You Stop Losing Revenue to Friction.

We embed AI into your ecommerce stack so customers find the right products faster, support tickets resolve without agents, and pricing adjusts automatically to demand so you stop leaving revenue on the table every single day.

14 day delivery
Non-destructive integration
Full source code

What We Build

AI features wired into your existing commerce platform so your store converts better from day one without a redesign or platform migration.

Personalized product recommendations that update in real time based on browsing history, cart contents, and purchase patterns
Semantic search that understands natural language queries and surfaces relevant products even when shoppers use vague or misspelled terms
Dynamic pricing engine that adjusts prices based on demand signals, competitor pricing, inventory levels, and margin targets
AI support agent that resolves order status, returns, and product questions instantly without routing to a human agent
Demand forecasting that predicts inventory needs by SKU and location so you stop stockouts and overstock simultaneously
Customer lifetime value scoring that segments buyers by predicted spend so you allocate retention budget to the right cohorts
Native Shopify and WooCommerce integration via official APIs with no changes required to your existing theme or checkout flow
Custom store AI layer for headless and proprietary ecommerce stacks built on any backend database or commerce platform
Abandoned cart recovery sequences that use AI to personalize timing, subject lines, and offer amounts per individual shopper
Cohort analysis and churn prediction for subscription commerce so you intervene before subscribers cancel
Product description generation from images and attributes so your catalog stays fresh without a copywriting bottleneck
A/B testing framework for AI features so every recommendation and pricing change is validated against revenue data before full rollout

Measured ROI

22% higher

Average Order Value

Personalized product recommendations shown at the right moment in the purchase journey increase average order value by 22% without discounting

60% lower

Support Ticket Volume

AI support automation handles the majority of order status, return, and product questions so your human agents focus on complex issues only

2x better

Search Conversion Rate

Shoppers who use semantic search convert at twice the rate of those who browse because they find exactly what they want in the first result

40% better

Inventory Accuracy

Demand forecasting reduces both stockout and overstock events by 40% in the first quarter after deployment by predicting SKU level demand accurately

Tech Stack

Shopify / WooCommerce API
Commerce layer
OpenAI GPT-4o
AI backbone
Node.js
Integration runtime
PostgreSQL
Behavior store
Elasticsearch
Semantic search
Redis
Recommendation cache
Resend
Recovery emails
Datadog
Revenue monitoring

14 Day Build Timeline

Day 1 to 2

Store Audit and Use Case Prioritization

Analyze your catalog size, traffic patterns, support ticket categories, and current conversion funnel to identify the three AI features with the fastest revenue impact.

Day 3 to 4

API Connection and Data Pipeline

Connect to your ecommerce platform via official API, ingest historical order and browsing data, and build the event streaming pipeline for real time behavior signals.

Day 5 to 8

Recommendations and Semantic Search

Train the recommendation model on your catalog and order history, deploy semantic search with your product data, and surface both inside your storefront without theme changes.

Day 9 to 10

Support Automation and Dynamic Pricing

Build the AI support agent trained on your policies and FAQs, deploy the dynamic pricing engine with your margin floors, and configure the testing framework for both.

Day 11 to 12

Demand Forecasting and Recovery Sequences

Deploy the inventory demand model, configure SKU level alerts for reorder points, and build the personalized abandoned cart recovery sequence.

Day 13 to 14

Deploy and Team Onboarding

Ship to production, run a live walkthrough with your ecommerce and support teams, deliver documentation, and begin the 30 day support window.

Fixed Project Price

$4,500

14 day delivery • Full source code • 30 day support

Basic integrations from $2,000 • Enterprise from $15,000

Book a Free Discovery Call

See a Related Project We Built

We built an AI support agent for an ecommerce brand that resolved 65% of incoming support tickets automatically and reduced first response time from 8 hours to under 30 seconds across all channels.

Read the Case Study

Frequently Asked Questions

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50+ products shipped$10M+ funding raised2-week delivery

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