your stock management
precision of predictions for your upcoming promotional campaigns
innovative strategies to minimize both physical and digital waste
allocation of labor resources
Up to 96% accuracy in predicting demand.
Up to 60% optimization conservative stocks or 10 to 20% optimization of dynamic, non-conservative stocks.
Up to 30% reduction in inventory costs.
We offer a custom-built, scalable, and interpretable demand forecasting solution for
your purchasing predictions and promotional activities with automated replenishment.
It can bring measurable business value to retail, ecommerce, logistics, and many other business domains.
Based on historical data about purchases, stocks, and price changes for the last three years, we build effective demand planning solutions.
Drawing on the predictions about current stock, we can also help you make predictions about new products or even new stores (with the following adjustments of regression models to accommodate new data from the location itself).
The solution operates on daily purchasing data from data warehouses/data lakes/ OLAP cubes. It can be enriched with other information, including exchange rates, inflation rates, or have additional functionality (e.g., calculating price elasticity).
To increase the efficiency of promotional campaigns, reduce manual efforts of marketing teams, and improve your understanding of your promo efforts, we offer a promotional prediction component to your demand prediction solution.
Based on the demand prediction results and planned promo activities, the solution calculates the next replenishment considering available stocks, the logistics and delivery timetables, expiration dates, and other factors for effective planning and replenishment.
Our custom-built solutions take internal and external data, combine it into a single source, process it with clear
and interpretable ML algorithms to create the optimal demand forecast.
During this time, our experts will gather the requirements and interview stakeholders to create the prototype that best matches your needs and expectations.
Next, we take 2 weeks to design a working prototype, based on the information gathered from the previous stage. We will present the PoC to stakeholders for review and testing.
For the next 3+ months, our engineers will develop and scale the solution, as well as support you through the following launch.
Based on the amount of your stock, scale of your operations, and the number of PoS, company wide implementation of the solution can take from 6+ months.
