Client Context
A fashion e-commerce platform with 50,000+ active SKUs. Pricing was managed manually by category managers using competitor benchmarks and gut instinct.
The Challenge
Static pricing couldn’t respond to demand signals fast enough. Seasonal items were either marked down too late (losing margin) or too aggressively (leaving money on the table). Category managers couldn’t process pricing decisions at the scale required.
Our Approach
We built a dynamic pricing engine that adjusts prices based on real-time demand signals, competitor pricing, inventory age, margin targets, and seasonal patterns. Human override is available for any product, and pricing constraints ensure brand positioning is maintained.
Timeline: 14 weeks
The Results
- Revenue increased 8.5%
- Markdown losses reduced 22%
- 50,000+ prices optimised continuously
- Category managers focus on strategy rather than manual price adjustments
Facing a similar challenge?
Let’s talk about how we can help your organisation achieve similar results.