80 likes | 456 Views
We have created the Demand Forecasting solution with the help of AI algorithms & based on that we have made the case study in the form of PPT.
E N D
Demand Forecasting Case Studies
Demand Forecasting Customer Detail Industry - Chemicals (Fragrances and Flavours) Location - India Problem Statement The supply chain team was using traditional methods of forecasting. They were generating a huge error in their forecasting and production planning and wanted a robust forecasting solution. Challenges 1) High number of SKUs. 2) Some external factors weren’t captured by the team.
Technology PyTorch MySQL Qlik Python Django App
Solution ● Existing data from SAP and Tally of past 10 years of sales were taken ● Data engineering, data cleaning, & missing data removal ● Identification of internal and external factors affecting sales ● Designing of Deep Learning model for forecasting using combination of LSTM and other algorithms ● Creation and connection of dashboard with SAP to get forecasting in real-time Business Impact The forecasting solution was able to forecast the peak and downfalls for a duration of next 8 months accurately. The error rate reduced by 10% from the traditional methods.
Our Methodology 3 2 Deployment Once complete solutions is ready then we deploy at your core system. Designing Solutions Our team of experts, starts building solutions to deliver your business goals. 1 Understanding Requirements We understand your business goals, and get acquainted with all the necessary details.
Chirag Tank Co-Founder & CEO +91 7021980537 chirag.tank@datenwissen.com Thank You Jitendra Purohit Co-Founder & COO +91 9820080751 jitendra.purohit@datenwissen.com