AI-Powered Retail Price Optimization System
Overview
An AI-driven pricing optimisation platform that continuously analyses market conditions, competitor behaviour, and demand patterns to automatically adjust prices in real-time, helping businesses maximise revenue while maintaining market competitiveness.

Problem
- Static pricing strategies fail to capture market opportunities and lead to revenue leakage.
- Manual price adjustments are slow, resource-intensive, and often based on incomplete data.
- Companies struggle to respond quickly to competitor price changes and market dynamics.
- Seasonal and temporal demand fluctuations are not effectively monetised.
- Inventory management inefficiencies lead to stockouts or excess inventory.
- Lost revenue opportunities during peak demand periods.
- Price-sensitive customers are lost during low-demand periods.
Solution
- Real-time price optimisation engine powered by advanced AI algorithms
- Automated competitor price monitoring and analysis
- Dynamic demand forecasting using machine learning
- Integration with inventory management systems
- Automated price adjustments based on multiple data points like Competitor pricing, Historical sales data, Current inventory levels, Market demand signals, Customer behaviour patterns, Seasonal trends, etc.
Key Impact

Revenue increase of 15-25% through optimised pricing strategies

Margin improvement of 10-20% through better price positioning

Reduction in manual pricing decisions and associated labour costs

Decrease in excess inventory through demand-based pricing

Enhanced market competitiveness with real-time price adjustments

Improved customer satisfaction through value-based pricing


Ideal Customer Profile (ICP)
Size
Mid to large enterprises with significant online presence
Annual Revenue
$100M - $1B annual revenue
Budget Owner
Chief Revenue Officer (CRO)/ VP of Pricing
Volume
Minimum 10,000 SKUs or service offerings
Technology Maturity
Medium to High
Key Decision Makers
- CRO/VP of Pricing
- Head of E-commerce
- Revenue Operations Director
- Data Science Leader
- CFO for ROI evaluation