Boost commerce & operations decisions
Modular machine learning solutions. Tailored.
Customer purchase prediction
Understanding when customers are interested to purchase next focusses marketing actions and is key for optimising more upstream processes, for instance warehouse inventory planning. We know this because we have done this. The solution we developed and implement has been published by the Journal of Operation Research.
Pricing OPtimisation
Everything comes together when setting a price. Demand, supply, stock levels, product type, margin, delivery time, competition, day of the month, willingness to pay, perceived value, marketing activities, weather, you name it. Our solutions take all of this into account and have improved margin by between 1 - 4ppts.
Marketing effects decomposition
When promoting a product you probably know the total sales uplift generated by adjusting the price, advertising and changing the location of the product in the store. Wouldn’t it be amazing though to accurately know the impact of each elements individually, so that you can optimise each of these aspects? Our solutions do this and have reduced marketing investment by between 5% - 25%.
Operational Forecasting
Understanding required plant capacity, planning warehouse resources or setting business unit targets; the operational forecast often is the basis for these decisions. Operational forecasting solutions we have implemented have resulted in ~20% improved forecasting accuracy compared to benchmark models resulting in improved inventory, personnel and infrastructure planning.
Recommender
We all want to help our customers find the right next product and spend a lot of time trying to understand them. Let our recommender help you a little with this, more specifically, our deep learning algorithms. Interested in a 10% - 60% higher click through rate? Let us know, we can help you with this.
Store Performance valuing
The store is where it happens. Here your customers enter your world: touch your products, interact with your sales people and experience your, well, experience. Investment and incentive decisions are often driven by individual store performance levels, but are you sure you are measuring this in the best way possible?
