Fashion Retailer — 50 Stores
AI inventory optimization across 50 stores and 2,000+ SKUs. Demand forecasting considers local trends, weather, and events. 28% less deadstock, 20% fewer stockouts, ₹2.1Cr/year saved on markdowns.
AI Retail Automation — Bengaluru
AI-Powered Retail Automation — Inventory Intelligence, Dynamic Pricing & Customer Experience
Inventory AI that cuts deadstock by 28%. Dynamic pricing that improves margins by 12%. Personalization that drives 45% higher average order value.
Get a Retail AI Strategy20+ retail deployments28% less deadstock45% higher AOV
Why AI for Retail
Three Ways AI Transforms Your Retail Business
01
Inventory Intelligence
AI predicts demand at the store-SKU level, optimizing stock across your network. 35% less overstock, 20% fewer stockouts. Inventory goes where it actually sells, not where the spreadsheet says.
02
Dynamic Pricing
ML models find the optimal price point by analyzing demand elasticity, competitor pricing, inventory levels, and time sensitivity. 12% margin improvement without sacrificing volume.
03
Personalized Customer Journey
AI recommendations, dynamic content, and personalized campaigns across all touchpoints. Collaborative filtering that actually understands your customers. 45% higher AOV for D2C brands.
Real Retail Deployments
AI Automation Driving Retail Revenue
Grocery Chain — Dynamic Pricing
AI-powered dynamic pricing for 800+ perishable SKUs across 15 stores. Prices adjust based on demand, shelf life, competitor pricing, and time of day. 12% margin improvement with 5% less food waste.
D2C Brand — Personalization
AI-powered product recommendations, personalized email campaigns, and dynamic website content. Collaborative filtering + content-based hybrid model. 45% higher AOV, 3.2x email click-through rate.
Architecture
Our Retail AI Stack
Layer 1
AI / ML
Collaborative filtering and content-based recommendation engines. LightGBM for demand forecasting. NLP for review analysis and trend detection. Computer vision for visual search.
Layer 2
Data Platform
Snowflake for unified data warehouse. dbt for data transformation. Real-time event streaming for inventory updates. Customer data platform integration.
Layer 3
Integration
Shopify, Magento, and WooCommerce connectors. POS system integration. Marketplace APIs (Amazon, Flipkart). Payment and loyalty system connectivity.
Layer 4
Personalization
Multi-armed bandit for recommendation optimization. A/B testing infrastructure. Dynamic content rendering. Cross-channel unified customer profiles.
20+
Retail Deployments
28%
Less Deadstock
12%
Margin Improvement
45%
Higher AOV
Our Process
From Assessment to Revenue in 8 Weeks
Retail Assessment
Audit your sales data, inventory processes, pricing strategy, and customer journey. Identify highest-ROI automation targets.
→ Retail AI RoadmapModel Development
Train demand forecasting, pricing, or recommendation models on your historical data. Validate accuracy with holdout testing.
→ Trained ModelsIntegration
Connect to your POS, e-commerce platform, and inventory systems. Deploy A/B testing for recommendations. Shadow mode validation.
→ System IntegrationGo Live
Launch AI-powered features with monitoring dashboards. Staff training on new tools. 30-day support included.
→ Live DeploymentInvestment
Transparent Pricing
Exact costs depend on store count, SKU volume, and integration complexity. Detailed estimate after the retail assessment.
Single Function
₹3-8L6-8 weeksOne retail AI function — inventory optimization, dynamic pricing, or product recommendations. Includes data integration and model training.
Omnichannel Suite
₹10-25L3-5 monthsMultiple connected AI functions with unified customer data, cross-channel optimization, and personalization across touchpoints.
Enterprise
On RequestScoped per engagementMulti-brand, multi-region retail AI transformation with custom models, team training, and dedicated support.
Contact UsClient Testimonials
What Our Partners Say
"Cartoon Mango was great to work with. They improvise and provide 24X7 support."
Gaurav SaxenaMedia Manager — BCCI
FAQ
Common Questions About Retail AI
AI analyzes sales patterns, seasonality, local demographics, weather data, and promotional calendars to predict demand at the store-SKU level. It then optimizes replenishment across your store network, routing inventory to where it will actually sell rather than distributing evenly. Our clients see 28-35% reduction in deadstock and 20% fewer stockouts.
We Have Delivered 100+ Digital Products
Sports and Gaming
IPL Fantasy League
Innovation and Development Partners for BCCI's official Fantasy Gaming Platform
Banking and Fintech
Kotak Mahindra Bank
Designing a seamless user experience for Kotak 811 digital savings account
News and Media
News Laundry
Reader-Supported Independent News and Media Organisation
Tell Us About Your Retail Challenges
Share your inventory, pricing, or customer experience bottleneck. We'll respond with an AI strategy and ROI projection.
- Retail AI assessment
- ROI estimate with payback timeline
- Engineering-first conversation
Your information is secure. We never share your data.
