Log-hub
Log-hub unveiled the new Demand Forecasting App, designed to transform how businesses predict and respond to market needs.
"Our new Demand Forecasting App is designed to give our users the reliable, data-driven insights they need to make smarter decisions—whether it’s for promotional campaigns, resource allocation, or long-term planning. By anticipating market shifts and providing accurate forecasts, the app helps businesses stay ahead of the curve and adjust strategies quickly to meet evolving customer needs. It also helps optimize inventory by aligning stock with demand, reducing the risk of stockouts or excess inventory, and ultimately driving greater operational efficiency," says Jan Sigmund, CEO of Log-hub.
Key takeaways:
- By leveraging advanced time series modeling and artificial intelligence (AI)-driven algorithms, the app provides dynamic and highly accurate demand forecasts tailored to the complexities of real-world markets.
- By integrating external variables such as holidays, weekends, and promotions, the app enhances historical demand data to accurately reflect real-world influences. Users can customize seasonal patterns and fine-tune trend sensitivity, ensuring the models align with their specific market dynamics. Additionally, the app allows for SKU-level customization, adapting forecasting models to the unique characteristics of each product, including lifecycle stages and demand behavior.
- Seamlessly integrating with Log-hub’s Inventory Optimization App, the Demand Forecasting App creates a cohesive supply chain management solution. Businesses can now use accurate demand insights to inform inventory policies, procurement schedules, and production plans, ensuring agility and efficiency across their operations.
- Log-hub also introduced updates to its existing apps. For instance, the Supply Chain Map now includes population data for mapped areas. This new feature helps users identify densely populated areas, target customers effectively, and refine location-based strategies all while improving the clarity of regional dynamics through enhanced visual representation. By leveraging population data, businesses can make informed decisions about where to focus resources and optimize supply chain operations.
- The Inventory Optimization App now includes a Scenario Comparison feature, where users can compare the impact of different inventory policies in one place, analyze KPIs, and identify areas with the highest savings potential. Additionally, columns can be filtered for enhanced clarity and transparency.
