Major automotive parts distributor
Dynamic pricing: +5.6% margin
A machine learning engine, progressive data integration and real-time APIs to automate dynamic pricing.
Explore the caseDevelop previously untapped growth opportunities: set the right prices, control discounts, personalise recommendations and improve sales effectiveness to increase revenue and margins.
Start with actual work
You need to adjust prices while protecting customer relationships, control discounts or focus your teams on the most relevant opportunities. We start with the decisions you need to improve and the constraints of your market.
A diagnosis of performance opportunities; rules and models tested on your data; tools integrated into business practices; and measurement and monitoring. Scope depends on your priorities and available data.
Margin, revenue, conversion, adoption of recommendations and sales preparation time. Measures and the baseline are agreed during scoping.
AI in practice
FAQ
We prioritise integration with your existing tools and processes, according to their capabilities and the project goals.
We define measures and a comparison approach suited to your context, accounting for changes in mix, volume and market conditions.
Analyse actual work, data and constraints. Design the target operating process with teams and define success criteria.
Build an initial solution and test it with users. Measure benefits, quality, risks, costs and energy consumption.
Integrate the solution into operations, prepare teams and organise its running. Monitor use and improve both agents and processes.
A clear need or an early idea? Start with a conversation. We will reply within a few days.