You’ve probably had this conversation. A traveler books a flight three weeks out. Two days later, the same fare on the same route is $180 lower. Nobody rebooks. The traveler flies on the original ticket. The program pays the original price.
Multiply that by every booking your company makes in a year. The number gets uncomfortable quickly.
The price-drop problem isn’t new
Airfares and hotel rates are the most volatile line items in a corporate travel program. They move daily, sometimes hourly, in response to load factors, inventory releases, competitor pricing, weather, currency, and a dozen other inputs. The pricing window that mattered for purchase doesn’t close at purchase. It keeps moving until the traveler checks in.
Inside that window, there is real money. Air fares fall measurably after purchase, sometimes more than once before departure. On hotel rates, the picture is similar: properties release lower rates as the booking date approaches and competing inventory comes online.
Most travel managers know all this. The problem isn’t visibility. The problem is what to do about it.
Why most programs don’t reshop after booking
Manual reshopping is expensive. To capture a $180 saving on a single fare, an agent has to:
- Detect the drop in the first place. The booking tool doesn’t tell them.
- Verify the new fare meets the same policy, cabin and conditions.
- Check the original fare’s cancellation and re-issue rules.
- Re-book the ticket inside the same record.
- Re-issue the confirmation to the traveler.
- Make sure the data flow into reporting still reconciles.
If you cost the agent time honestly, you save the $180 by spending $120 of agent time. On a per-booking basis, the math is fine. Across the whole program, no team can justify the time. So the policy quietly becomes: don’t chase it.
The savings sit there. Unclaimed. By design.
What changes when the chasing is automated
Reshopping at scale is now a machine problem. Modern reshopping platforms watch every booking continuously from purchase to check-in, detect drops the moment they appear, verify policy match in milliseconds, and re-book inside the original PNR without involving the agent or disturbing the traveler.
When the machine is doing the chasing, the cost equation flips. The marginal cost of evaluating a price drop falls to near zero. So the threshold for capturing a saving falls with it. The $180 saving that no team had the capacity to chase manually becomes worth capturing automatically, on every booking.
What used to be unclaimed savings becomes a continuous savings layer running quietly under the program. The travel manager doesn’t manage it. The traveler doesn’t see it. The finance team sees the line item come down.
What this looks like inside an ATG program
ATG runs this as ATG Reshop inside its technology stack. From the moment a booking is made, ATG Reshop monitors the air fare or hotel rate, the cancellation rules and the policy. When a lower fare or rate becomes available within the same policy and itinerary, it rebooks automatically. The traveler keeps their seat, their room and their schedule. The program saves.
The point isn’t the technology. It’s that the saving becomes continuous rather than occasional, captured on every booking, without anyone having to chase it.
What savings is your travel program leaving behind?