Case
Studies

In the competitive retail landscape, maintaining the right level of buffer inventory is crucial. Traditional methods often fail to account for true demand variance, leading to either stockouts or excess inventory. Orbitware provides a cutting-edge solution using Apache Spark and Delta Lake to distribute and rapidly process safety stock analysis across all plants and distribution centers multiple times per day.

In the rapidly changing retail landscape, traditional supply chains face significant challenges. With the explosion of q-commerce for traditional items and prepared foods, retailers are under pressure to adapt. Orbitware provides comprehensive solutions to address these challenges, from demand management to real-time operations and autonomous delivery.

Retailers are facing significant challenges due to shifting consumer trends and the rapid rise of q-commerce for traditional items and prepared foods. Orbitware offers advanced solutions to address these challenges, focusing on real-time operations, demand management, and cost-efficient fulfillment.

Accurate demand forecasting is essential for manufacturers to plan operations, ensure inventory, and fulfill customer needs. However, recent volatility in demand—due to events like the pandemic and the chip crisis—has exposed the limitations of traditional statistical forecasting methods.