AI for Retail That
Drives Real Revenue
Retail AI is not about technology — it is about revenue, margin, and customer loyalty. We build AI systems that personalise at scale, forecast demand accurately, price dynamically, and resolve customer queries instantly — producing measurable business outcomes, not dashboards.
AI for Retail, End to End
End-to-end capability — from strategy and build to integration, monitoring, and ongoing support.
Personalised Recommendation Engine
Collaborative filtering, content-based, and deep learning hybrid recommenders — personalising product discovery, email, and homepage for every customer in real time.
Demand & Inventory Forecasting
LSTM and gradient boosting forecasting models at SKU, category, and store level — reducing overstock and stockouts while optimising procurement and replenishment cycles.
Visual Product Search
Computer vision-powered visual search — customers search by image, get exact and similar matches across millions of SKUs in under 200ms.
Dynamic Pricing AI
Real-time pricing models that optimise margins while staying competitive — factoring in demand signals, inventory levels, competitor prices, and customer segments.
AI Shopping Assistants
LLM-powered shopping chatbots that guide product discovery, answer questions, track orders, and recover abandoned carts — across web, WhatsApp, and app.
Customer Sentiment Intelligence
NLP pipelines analysing product reviews, social media, and support tickets — providing granular sentiment signals that feed product, marketing, and merchandising decisions.
Our Engagement Process
A disciplined, outcome-focused approach from first call to go-live.
- 1
Data Audit & Use Case Prioritisation
Assess your customer data, transaction history, and product catalogue — and identify the AI use cases with highest revenue impact.
- 2
Model Development & A/B Testing
Build AI models with rigorous A/B testing infrastructure — measuring revenue impact, not just model accuracy.
- 3
Real-time Serving Infrastructure
Build low-latency prediction APIs and feature stores that serve personalisation and pricing in real time at scale.
- 4
Integration with Commerce Stack
Integrate AI with your Shopify, Magento, SAP Commerce, or custom commerce platform — surfacing AI in product pages, search, and checkout.
- 5
Revenue Attribution & Optimisation
Monitor revenue attribution from AI features, run multivariate tests, and continuously optimise based on business outcomes.
Tools & Frameworks We Master
A production-tested, vendor-agnostic stack built for enterprise security and compliance requirements.
Recommendation Systems
Forecasting
Commerce Integrations
Infrastructure
Use Cases by Industry
Production AI systems we have built across regulated, data-heavy industries.
Hybrid Recommendation Engine
Matrix factorisation + deep learning recommender for 2M+ SKU catalogue — 27% increase in AOV, 19% improvement in conversion rate.
Visual Search Engine
ViT-based visual search across 5M+ fashion products — customers search by photo, sub-200ms response time, 35% increase in discovery engagement.
Demand Forecasting at Scale
Prophet + LSTM ensemble for 50,000 SKUs across 200 stores — 4.1% MAPE at weekly level, $2.3M annual reduction in waste and overstock.
Dynamic Pricing System
Real-time pricing AI factoring demand, inventory, and competitor prices — improved margin by 8.3% while maintaining conversion rate.
AI Chatbot for Support & Sales
GPT-4o chatbot handling 8,000+ daily conversations — 74% resolved without agent, 23% conversion uplift on chat-assisted sessions.
Churn Prediction & Retention
Customer churn model with 89% precision — triggered personalised retention offers 45 days before predicted churn, saving $3.8M ARR.
What Teams Say After Shipping with Us
Real results from teams who needed AI to work in production, not just in a demo.
AndolaSoft has been a valued partner providing excellent customer service. Issues with clients or troubleshooting are handled in a timely manner and positive resolution is always the outcome.
I got a recommendation on AndolaSoft. They are more than half the cost, they have a can-do attitude, and they are responsive, timely, and easy to work with.
Andolasoft team is very hardworking, dedicated and professional that follows through with their goals. The technical leadership is also a superior value to any other developers.
Frequently Asked Questions
With a proper A/B test, most clients see measurable revenue lift within 4–6 weeks of deploying a personalised recommendation engine. We build the A/B testing infrastructure alongside the model so you have clean revenue attribution from day one.
Ready to Add AI to Your Retail Operations?
Tell us your biggest revenue or operational challenge. We will show you exactly which AI system solves it and what return to expect.