Success case | Demand Forecasting of Production
Leader in the brewing sector
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The Challenge
Our client carries out the demand forecasting process with a market solution. The development of new references and channels and the acquisition of new companies in the group have impacted the accuracy of the models (worsening) and the time spent in the process (one week per month).
The Solution
Keepler conducted a PoC for 3 weeks, in order to validate the feasibility of a Cloud demand forecasting solution and the impact on results and processes. The PoC consisted in the development of a forecasting model for 15 references, representative of the portfolio of more than 1,500 references that our client currently manufactures and/or markets.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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