Mass consumption

Beverages

Demand forecasting

Context and Challenge

The demand estimation processes and other business units had technical and process shortcomings. There were inaccuracies in forecasts, poor coordination between areas, limitations in the existing tool (JDA), integration issues with satellite software, inconsistencies in business logic, and a lack of clear process definitions, negatively impacting the forecast results.

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Customer objectives

  • Design a customised and adaptable product.
  • Total integration with satellite software.
  • Greater control over business logic and processes.
  • Facilitate internal training and support.
  • Reduce costs and external dependency.
  • Improve the accuracy of projections.

Solution

  • Development of a demand forecasting engine that is modular, configurable, scalable, and automatable, designed alongside the Data Science team to ensure sustainable and adaptable solutions for the business.
  • Implementation of a web application that supports and guides the demand planning process at all stages.
  • Integration and modernisation of internal and external portals for clients and distributors, ensuring a unified experience.
  • Adoption of a Design System to ensure speed, consistency, and visual governance across all interfaces.

Results and benefits

Massive forecasts

Over 800 products forecasted weekly.

Projections over time

50,000 weekly projections with a timeframe of 85 weeks.

Sales Forecast Accuracy

SFA improvements of over 10 points.

Integration

A guided and integrated planning process in a single tool.

Collaborative

Improvement in collaboration among different roles and users.

Automation

Projections executed automatically.

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