We built a sales forecasting system and optimized the volume of goods in the warehouse and the range of goods in different locations, considering each outlet's specifics. We set up a system that has processed more than 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
Retail trading company focused on production of luxury goods, available in more than 3,000 stores worldwide.
Optimize the volume of goods in the warehouse by location.
Optimize the assortment of goods in various locations taking into account specifics of each outlet.
Build a sales forecasting system.
Built clusters of stores taking into account customer behavior.
Built a basic model based on time series forecasting.
Built a refined model based on the neural network taking into account additional factors such as holidays, economical indicators of countries where stores are located, weather conditions, etc.
8TB/24month sales data processed.
19%/$142mln reduced the volume of residues in warehouses.
88% accuracy of forecasting.
0.9%/from 4% decreased the out of stock level.
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pages processed daily
These guys are fully dedicated to their client's success and go the extra mile to ensure things are done right.
They developed solutions that brought value to our business.
If we experience any problems, they come back to us with good recommendations on how the project can be improved.
They have very intelligent people on their team — people that I would gladly hire and pay for myself.
Share the project details – like scope, mockups, or business challenges.
We will carefully check and get back to you with the next steps.