Ingka Group acquires Locus! Built for the real world, backed for the long run. Read here>Read the full story>
Ingka Group acquires Locus! Built for the real world, backed for the long run. Read the full story

5 Silent Signs Your TMS Is Bleeding Distribution Margin Without Showing It on the Dashboard

The last Thursday of the quarter. Your planner has been booking spot trucks since morning to clear orders that all landed in the final week. A reefer is in its third hour of detention at the co-packer. A chargeback from a load shipped in March just posted to accounts receivable.

The dashboard was green throughout.

The reflex is to blame the freight market or the quarter-end rush. The cause is structural: the system runs its rules correctly, and those rules describe a distribution problem that no longer exists.

Five signs we keep seeing across CPG secondary distribution in 2026.

Sign 01

The 90-day fine

Fig. 01 Margin leak by days between dock-out and deduction posting

The load scans perfect at the gate. The fine posts to a different ledger, weeks later.

Timeline from dock-out to deduction posting A horizontal timeline. At day zero a green marker shows the shipment scanning perfect at dock-out. The timeline crosses week two, week six, and week eleven. At the far right an orange marker shows a short-pay deduction worth three percent of cost of goods posting to accounts receivable, eleven weeks after the routing miss. WEEK 2 WEEK 6 WEEK 11 DAY 0 · DOCK-OUT shipment scans perfect 3% OF COGS DEDUCTION POSTS to accounts receivable, not freight the routing miss is 11 weeks old

Walmart inbound standards via Logistics Viewpoints, Feb 2024

What it looks like. Margin slips on accounts operations calls clean. Accounts receivable carries a growing line of deductions while the dashboard reads 100% case fill and on-time dispatch.

What we tell ourselves. “OTIF fines are the price of selling to big retail. Disputing them costs more than they are worth.”

What it actually is. The fine is a blind spot between dispatch and the retailer’s receiving dock. In February 2024 Walmart set its inbound standard at 90% on-time and 95% in-full, with an automatic fine of 3% of cost of goods (COGS) for misses. The system confirms the truck left on schedule; it cannot see static transit buffers and a missed appointment window turning that dispatch into a late arrival. The fine posts weeks later to accounts receivable, not the freight budget, so it never traces back to the routing miss, and a share gets written off because researching a claim can cost more than the claim itself.

Sign 02

Phantom growth

Fig. 02 Promotional volume spike and the post-promotion crash, against baseline

The quarter-end spike is borrowed from future weeks. Distribution pays on the way up and on the way down.

Quarterly demand line against a flat baseline A demand line runs near a flat dashed baseline for most of the quarter, spikes sharply in the final week, then crashes below baseline for roughly three weeks. The area above baseline during the spike is shaded and labeled premium freight plus overtime. The area below baseline in the trough is shaded and labeled idle fleet, fixed cost. ORDER VOLUME W1 W6 W11 W13 W16 WEEK OF QUARTER, INTO THE NEXT baseline demand QUARTER CLOSE PREMIUM FREIGHT + OVERTIME idle fleet, fixed cost

McKinsey, “How analytics can drive growth in consumer-packaged-goods trade promotions”

What it looks like. Sales celebrates a record quarter close. Two weeks later orders fall off a cliff. Distribution paid overtime and spot freight to move the surge, then watched the fleet sit half empty.

What we tell ourselves. “We hit the number. Promotions always get messy at the end of the quarter.”

What it actually is. The spike is mostly distributors buying months of stock at the discount, then pausing orders while they sell it down. Distribution pays twice: premium spot freight and overtime to move the surge before the books close, then weeks of near-empty trucks whose fixed cost keeps running. Promoted volumes are the hardest in the portfolio to forecast, and transport plans built on historical baselines never see the wave coming. The premium freight posts to general overhead, never to the promotion that caused it, so the pattern repeats every quarter unexamined.

Learn more about the world's first Agentic TMS, automating logistics decisions since 2015

Sign 03

The unprofitable tail

Fig. 03 Cost-to-serve against drop size, with the break-even line

Below a certain drop size, every delivery loses money. Flat-rate averaging hides which ones.

Cost-to-serve per drop against drop size A falling curve of cost-to-serve per drop against drop size, with a horizontal dashed break-even line and dots marking outlets along the curve. The small-drop end of the curve sits above break-even in a shaded zone labeled served below break-even. COST TO SERVE PER DROP SMALL DROPS LARGE DROPS DROP SIZE, CASES PER STOP BREAK-EVEN SERVED BELOW BREAK-EVEN only 17% of suppliers recover >75% of true cost-to-serve

McKinsey, “Great service, but who’s paying?”, 2022

What it looks like. A national account looks profitable on the dashboard, yet distribution cost climbs faster than volume. The DSD and van-sales routes to small outlets eat the most time per case, and nobody can say which outlets actually make money.

What we tell ourselves. “Every outlet is a sale. Coverage is how we win the market.”

What it actually is. Averages hide the tail. Most CPG cost models assign a flat freight cost per case, burying the real cost of small, frequent, far-flung drops. McKinsey finds only 17% of suppliers recover more than 75% of their true cost-to-serve; the rest is cross-subsidized by high-density accounts. Distance-optimized routing keeps scheduling low-velocity drops that cost more than they return, because loaded cost never enters the route plan.

Sign 04

The disruption premium

Fig. 04 Cost to recover, indexed, by hours since the dwell starts

Detection delay drives the recovery cost more than the disruption does.

Recovery-cost curve by hours since the dwell starts Recovery cost rises from one times to ten times across zero to twenty-four hours since a dwell starts. Three shaded zones mark a cheap fix in the first hour, detention accruing from two to eight hours, and spot premium plus OTIF fine from twelve to twenty-four hours. A marker toward the right shows where dwell typically surfaces today; a marker toward the left shows early detection. CHEAP FIX DETENTION ACCRUES SPOT PREMIUM + OTIF FINE 10× COST TO RECOVER, INDEXED 0h 4h 8h 12h 16h 20h 24h HOURS SINCE THE DWELL STARTS TYPICAL TODAY dwell surfaces late early detection

ATRI, Financial and Safety Impacts from Truck Driver Detention, 2024

What it looks like. A driver has been sitting at your dock three hours past the free window. Your planner is on the phone with the carrier, watching a grocery-DC appointment slip out of reach, weighing a premium expedite against an OTIF chargeback. Constant triage.

What we tell ourselves. “Detention and spot premiums are the cost of doing business. The freight market is volatile.”

What it actually is. Detention is largely a symptom of architectural latency. Dock schedules are set days ahead against assumed throughput, nothing watches the day drift, and by the time a planner sees the dwell building, the cheap recovery options are gone. Drivers report detention in 39.3% of all stops, and for refrigerated loads it climbs to 56.2%. McKinsey sizes the broader B2B handover friction at $45 billion to $66 billion a year, across 850 million hours of detention and dwell. Chronic dwell pushes carriers to inflate contract bids or reject tenders, which forces volume onto the spot market at a premium.

Sign 05

The expiry clock

Fig. 05 Recovered value against days of shelf life lost in transit

Routing sets the clock on perishable stock as much as the product does.

Value-retention curve against days of shelf life consumed in transit and dwell A value-retention curve holds a high plateau, then drops steeply as days of shelf life are consumed in transit and dwell. A vertical dashed line marks the retailer acceptance threshold; beyond it a shaded zone is labeled rejected at DC, write-off. An annotation notes that one extra day of shelf life cuts waste 42.8 percent. 100% 50% 0% RECOVERED VALUE 0 2 4 6 8 10 DAYS OF SHELF LIFE CONSUMED IN TRANSIT + DWELL RETAILER ACCEPTANCE THRESHOLD rejected at DC · write-off one extra day of shelf life cuts waste 42.8%

ECR Retail Loss; U.S. Food Waste Pact 2025 Data Report

What it looks like. Finance writes off another batch of expired stock. A grocery DC rejects a load for short shelf life. The CFO calls spoilage unavoidable.

What we tell ourselves. “Shrink is part of the food business. You cannot beat the clock.”

What it actually is. For food and beverage shippers, the clock is set by routing as much as by the product. Mileage-optimized sequencing lets near-expiry stock ride to the end of a multi-drop route and miss the retailer’s days-to-expiry window. The sensitivity is steep: one extra day of shelf life cuts food waste by 42.8%. Unsold food cost US retail $26.9 billion in 2024, 2.9% of inventory; across the food system, spoilage causes 12.9% of surplus food and buyer rejections at the dock another 2.2%. Detention compounds it: every hour on a warm dock burns shelf life the retailer will reject.

Notes & sources

Notes

Not every TMS deployment is an architectural failure. Predictable, full-truckload primary lanes between a plant and an owned DC run on rules-based logic with adequate cost performance. The failure surfaces where secondary distribution fragmentation, promotion volatility, retailer compliance, and perishability collide.

The 90-day fine covers the delivery-compliance slice of retailer deductions: late arrivals, missed appointment windows, short shipments from load planning. Trade and commercial deductions are a separate, larger pool with different causes and different fixes.

The transition is also imperfect. Layering an automated wrapper on siloed distributor and retailer data compounds the problem rather than fixing it. The shift to dynamic planning is real. So is the cost of doing it on fragmented data.

Anas T

Anas T

Senior Content Writer - Product Marketing

Anas is a product marketer at Locus who enjoys turning complex logistics problems into simple, clear stories. Outside of work, he’s usually unwinding with a book or catching a good movie or series.