About Us

About Us
Lorem Ipsum is simply dummy text of the printing and typesetting industry.

Contact Info

684 West College St. Sun City, United States America, 064781.

(+55) 654 - 545 - 1235

info@corpkit.com

Client

Africa-based CPG customer involved in the production and sale of Wheat flour-based products

Project Title

Driving Supply Chain Efficiency with Predictive Analytics for an Africa-based CPG leader

Client

Africa-based CPG customer involved in the production and sale of Wheat flour-based products

Problem

  • Significant challenges in demand forecasting and supply chain optimization.
  • The primary issues included frequent stockouts, Lost Sales, overstocking, high inventory costs, and suboptimal resource utilization.
  • These problems not only affected operational efficiency but also had a direct impact on the company’s revenue and profitability

Solution

  • Implemented a streamlined data and analytics solution using essential machine learning (ML) methods and a focused tech stack.
  • Time series Analysis models like ARIMA were employed to predict future demand based on historical sales data, accounting for seasonality and trends.
  • Regression Models: Employed to understand the impact of factors such as promotions and market conditions on demand.
  • Clustering: Applied to segment customers and markets for more targeted demand forecasting.

Value Proposition

  • The company achieved a 20% improvement in demand forecasting accuracy.
  • Accurate demand forecasting led to a 15% reduction in inventory levels
  • The improved inventory management resulted in a 10% increase in revenue due to better product availability and a 5% reduction in operational costs.
  • The overall supply chain became more agile and responsive to market changes