Project Details
Description
SMART FORECAST develops a sophisticated solution for precise demand forecasting and intelligent cross-selling recommendations in the hygiene sector. Integrating transactional data, IoT insights, and machine learning techniques, this project generates tailored order quantity recommendations for customers and identifies high-potential cross-selling opportunities for sales teams. By applying clustering, classification, and regression algorithms, SMART FORECAST uncovers critical patterns in purchasing behavior, enabling more accurate demand forecasts that minimize stockouts and excess inventory. Real-time IoT data further refines predictive insights, supporting agile inventory planning and customized sales strategies. This advanced data-driven approach enhances supply chain efficiency and supports strategic customer engagement, creating measurable value across the company’s operations.
Status | Finished |
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Effective start/end date | 01.10.2021 → 31.03.2023 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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