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Use case Network & territory marginFuel distributor, 420 sites

How a fuel distributor learned its fastest-growing region was losing money.

The eastern region grew volume 9% in a year, and the plan was to double down. Cortex showed the growth was built on contracts priced before freight.

The problem23 contractsLosing money after freight
The growth6 new dealersIn corridors that pay

“Where should we grow next?” → one question to Cortex AI

The problem23 contractsLosing money after freight
The fix$1.6M a yearIn margin recovered
The growth6 new dealersIn corridors that pay

01 · The challenge

A growth plan built on the volume report.

The eastern region was the company’s success story. Volume was up 9%, dealer count was up, and the board plan added two sales hires and more terminal capacity there.

Margin reports looked healthy too. But freight was spread at the company average, not charged to the loads that caused it.

Before Cortex

What the team saw first

  • East region volume+9% year over year
  • Reported margin11.2¢ a gallon, before freight
  • FreightAllocated at the company average
  • InstinctInvest more in the East

The difference

Same question. Different results.

The question“Which contracts, routes and territories are making or losing money after freight, and where should we grow next?”

Claude / GPT / Public LLMs

Uploaded file

1 sourceThe file you uploadedregional_volume.xlsx

Answer

The East grew volume 9% this year, your fastest-growing region. Invest more there.

Just an answer.

Cortex AI

Connected intelligence

Cortex AI
  • Freight cost by route
  • Contract terms
  • Rack prices
  • Delivery records
  • Truck miles
  • Dealer volumes
  • Competitor prices
  • Road traffic
  • Fuel taxes
  • Terminal access
  • 23 contracts below zero
  • −1.4¢ a gallon after freight
  • Growth priced before freight

Answer

Your fastest-growing region is losing money. 23 eastern contracts average −1.4¢ a gallon once true freight is charged. Reprice with a freight pass-through: $1.6M a year.

A decision.

02 · The finding

The region was growing because it was underpriced.

Cortex rebuilt margin for every contract from BOLs, terminal lifts, dispatch miles, freight cost and rack and spot prices. It added competitor locations, traffic and mobility data, and new construction.

The East wasn’t winning on service. A supply allocation had moved to a terminal 70 miles farther away, and these contracts had fixed delivered prices signed before the move.

What Cortex found

Where the margin really was

Margin per gallonas reported, and after true freight per load
West
9.8¢ → 7.9¢
Central
10.6¢ → 8.4¢
East
11.2¢ → −1.4¢
As reported, freight averagedAfter true freight
  1. Margin rebuilt per contractTrue freight charged to every load.
  2. 23 contracts below zeroAll in the East, averaging −1.4¢ a gallon.
  3. Cause confirmedSupply moved to a terminal 70 miles farther. Prices were fixed before the move.
  4. Growth found14 independent sites on two growing corridors, near the lowest-cost terminal.
The decision

Fix the contracts before adding a single gallon. Then grow where the freight works.

  • Repriced the 23 contracts with a freight pass-through at renewal. 19 accepted, 4 were let go.
  • Moved two eastern routes to spot supply from a closer terminal.
  • Sent the new sales hires to the two western corridors instead of the East.

03 · The impact

What changed.

MeasureBeforeAfter
East region margin after freight−1.4¢/gal+6.8¢/gal
Contracts losing money after freight230
Annual margin recovered—$1.6M
New dealers in the target corridors06 of 14
Time to rebuild the growth planA quarterOne week
Leadership takeaway

Volume isn’t growth until freight is in it.

Our volume report said grow in the East. Our freight bill said stop. Cortex was the first thing that read both.

Every distributor has a region that looks great on volume. The question is whether anyone has checked it after freight.

Which of your territories would you check first?Book a demoSee all use cases
Next use caseHow a convenience chain turned the till into its best salesperson
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Target implementation2–4 weeks
EnvironmentPrivate enterprise
Timeline depends on data readiness and integrations.

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