1 //The challenge
I worked with a regional logistics provider where dispatchers planned routes the same way they had for a decade, while traffic, weather, and customer windows kept shifting.
Static routes ignored real time traffic and weather until drivers were already stuck in it
Late deliveries triggered penalty clauses that ate directly into already thin margins
Manual dispatch could not realistically replan a full day of routes once something changed midmorning
2 //The Solution
I helped this provider deploy a route optimization system that recalculates the full day's routes in real time as conditions change, not just once each morning.
Dispatchers kept final approval on every route change. The system simply did the recalculating work that used to take a human twenty minutes per disruption.
- Store level forecasting replaced regional averages that masked real local demand patterns
- Automated reorder suggestions flagged fast movers before they actually hit zero stock
- Inventory transfers between nearby stores caught imbalances before markdowns became the only option
Retail does not have a demand problem. It has a visibility problem dressed up as one.
Hary Periya
3 //My Pesonal Thoughts
Every retailer I meet already has the sales data. Almost none of them are using it at the store level.
- Regional forecasting hides the exact problem it should be solving
- Store managers were never the problem. They were guessing because nobody gave them better numbers
- The fix here was not more inventory. It was moving the inventory that already existed to where it was actually needed
4 //Key Outcomes
- Stockouts on top selling items dropped significantly across the pilot store group
- Excess seasonal inventory carried into the next quarter fell by a meaningful margin
- Store managers stopped overriding the system once it proved more accurate than their own estimates
Stockouts Reduced
0
%
Inventory Dollars Freed
$
0
+

