We use our unique AI to optimize the Gross Margin of companies with >5,000 customers and 10,000 SKU's. We target a 3% improvement in the Gross Margin which according to McKinsey should increase Net Profit by 30%.
We have developed a unique technology solution that includes three components: a Customer Engine, a Pricing Engine, and a Performance Engine. The solutuion is designed to deliver pricing recommendations by the customer, by product, and by day of the week.
Technology Features, Specifications and Advantages
Our Technology consists of the following three components:
A Customer Engine provides ‘Hyper’ personalized customer segmentatiom and an individual customer/product willingness to pay scoring engine which utilizes business data to determine trajectory, i.e., customer behavior to provide an optimum price based on the prediction model.
A Pricing Engine provides an optimum price recommendation by product and a customer growth prediction, called Data Fusion, which connects multiple internal and external data sources to quantify and measure changes post decision.
A Performance Engine contains the continuous monitoring and learning loop and the financial tracking at the transaction level.
The solution then combines the above predictive models to optimize the recommendation engine.
Price optimisation and improvement solution to increase the Gross Margin by 3% and Net Profit by 30%.
Our solution is ideal for businesses that are data-intensive, with >5,000 customers and 10,000 SKU or more. Ideal customers for our solution include businesses like building material distribution, car parts distribution, and food services.
To increase Gross Margin by 3% and Net Profit by 30% by offering individual Price Recommendations by Customer, Product, and Day/time of purchase.