SofStack is a retail and ecommerce AI MVP development company building AI products for retailers, consumer brands, marketplaces and ecommerce platforms.
Retail margins depend on selling the right product to the right customer with the right stock in place. AI can improve each step, from search and recommendations to forecasting and support. We build retail AI MVPs that prove the revenue and cost impact on your own store data.
Who We Work With
Omnichannel retailers connecting stores, web and app
Consumer brands selling direct to consumers
Marketplaces managing large seller catalogues
Wholesale and B2B commerce businesses
Commerce technology companies adding AI to their products
Retail and Ecommerce AI Use Cases
Use case | What the AI does | Typical impact |
AI shopping assistant | Helps shoppers find products through natural conversation | Higher conversion |
Semantic product search | Understands intent beyond exact keywords | Fewer zero-result searches |
Personalised recommendations | Suggests products based on behaviour and context | Larger basket size |
Catalogue enrichment | Generates descriptions, attributes and translations | Faster product launches |
Demand forecasting | Predicts sales by SKU, store and channel | Less stock-out and overstock |
Customer support automation | Handles order status, returns and FAQs | Lower support cost |
Review and feedback analysis | Summarises reviews into product insights | Faster product improvements |
Integration With Commerce Platforms
System | Examples |
Commerce platforms | Shopify Plus, Salesforce Commerce Cloud, Adobe Commerce, BigCommerce, commercetools |
ERP and inventory | SAP, Oracle, Microsoft Dynamics, NetSuite |
Product information | Akeneo, Salsify, Pimcore |
Customer data | Segment, Klaviyo, Salesforce, HubSpot |
Support | Zendesk, Gorgias, Freshdesk, Intercom |
Proving Impact With Real Shoppers
A/B tests comparing AI features with your current experience
Revenue metrics: conversion rate, average order value and revenue per visitor
Operational metrics: forecast accuracy, stock-outs and content production time
Support metrics: tickets resolved automatically and customer satisfaction
Brand-Safe AI
Tone of voice controls for generated product content and chat replies
Product facts from your catalogue only, not invented claims
Promotion and pricing rules respected in recommendations
Human review workflows for new product content
Privacy-aware personalisation with consent controls
How We Deliver Retail AI MVPs
1. Discovery with ecommerce, merchandising, marketing and IT teams.
2. Data review of catalogue, orders, traffic and customer data.
3. Proof of concept on one category, market or channel.
4. MVP build with platform integration and measurement.
5. A/B test on live traffic before full rollout.
Retail & Ecommerce AI MVP Pricing
Engagement | Starting price | Timeline |
Discovery | From $2,500 | 2 weeks |
Proof of Concept | From $5,000 | 3–4 weeks |
Retail AI MVP | From $15,000 | 8–12 weeks |
Dedicated AI Team | From $6,000/month | Monthly |
Pricing depends on the platform, catalogue size and number of channels included.
Frequently Asked Questions
Which retail AI use case gives the fastest return?
Semantic search, AI shopping assistants and support automation usually show results fastest, because they affect conversion and cost directly.
Can you build AI features for Shopify Plus?
Yes. We build AI features for Shopify Plus and other major commerce platforms through their APIs and app frameworks.
How do you stop AI from inventing product details?
The AI only uses facts from your catalogue and product data, and generated content can go through a review workflow before publishing.
Can you measure the revenue impact?
Yes. We run A/B tests against your current experience and report conversion, order value and revenue per visitor.
How much does a retail AI MVP cost?
SofStack retail and ecommerce AI MVPs start from $15,000, with a proof of concept from $5,000.
Build Your Retail AI MVP
Tell us about your store, catalogue and growth goals. We will propose an AI approach and a starting engagement.