Customized Demand Planning Solution for FMCG Leader in the UK

With analytical insights to enhance their existing data models, it helped in accurate monitoring of stock levels and meet fluctuating future demands.

• A team of Hitech data scientists analyzed the client’s existing algorithms and understood the exact pain points and needs of various stakeholders.
• Identified the loops in the algorithmic data and implemented right course-correction approach. For example, used data cross validation and feature selection to bring more value to the weekly and monthly forecasts.
• Used data pre-processing techniques to pace up existing databases, applied classical time series algorithms to enhance forecast accuracy.
• Helped with automated forecasting support and seamlessly manage SKU-level forecast for multiple stores.
• Owing to the success of the model in the USA market for several months, the model was deployed for different markets like UK, France, Brazil, Mexico and Australia.