New AI Predicts Delivery Times — Could Make Shipping Cheaper
Better delivery guesses mean fewer late packages and less money wasted.
A researcher used machine learning and deep learning to predict the estimated travel time for transportation and logistics in a supply chain system. Why it matters: accurate travel time estimation helps supply chain members improve logistics consistency and performance, and it supports planning, demand forecasting, lead time management, and assembly planning. Logistics on the delivery side of the customer also plays a crucial role in customer satisfaction and voice of customer. Using collected historical data and novel techniques, the research builds an accurate model to predict the travel time of inventory. It's a research paper — 50 pages, 24 figures, and 8 tables — not a product you can use yet.
- A new research paper shows machine learning can predict shipping and travel times more accurately than traditional methods.
- Accurate arrival estimates cut costs companies pass on to you — less emergency shipping, less spoiled inventory, fewer empty shelves.
- It's 50 pages of academic work, not a ready-made tool, and it can't foresee shocks like storms or strikes.
Why It Matters
More accurate delivery predictions could mean fresher food, fewer late packages, and slightly lower prices for everyday goods.