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How to Prove TMS Value in 90 Days: Baselines, Control Groups and the Metrics Finance Will Accept
Oct 22, 2026
10 mins read

Proving TMS value means showing, with evidence a finance team will accept, that a transportation management system changed cost, service or productivity and that the system, not the market, caused the change. Freight costs move with fuel, carrier rates and seasonality, so a simple before-and-after comparison credits the TMS with changes it did not make. A 90-day proof needs a frozen baseline, a comparison group that shares the same market, clear attribution rules and savings classified as finance would classify them.
Key Takeaways
- A before-and-after comparison credits a TMS with market movement: in the worked example it overstates the saving by $36,000, or 37.5%, against a control-group result of $96,000.
- Difference-in-differences is a causal design and not just four numbers subtracted, and its parallel-trends assumption cannot be tested directly.
- U.S. business logistics costs were $2.4 trillion in 2025, or 7.8% of GDP, according to the 2026 edition of the CSCMP State of Logistics report, so small percentage changes are large in dollars.
- We found no independently verifiable TMS payback benchmark, and one widely repeated Gartner-attributed payback figure could not be traced to Gartner, so this article gives a method and not a benchmark.
- Locus’s own guidance says each customer figure describes that deployment and not a platform average, and its public pages do not state a standard holdout method.
Why Proving TMS Value Matters: The Business Case
A TMS is a significant investment, and its benefits are easy to claim and hard to verify.
- The CSCMP State of Logistics report, presented by Kearney and Penske, put U.S. business logistics costs at $2.4 trillion, 7.8% of GDP in 2025, though outlets differ on the prior-year comparison, so year-on-year claims need checking against the report.
- Nucleus Research reported in 2023 that TMS platforms cut transportation costs by 11% on average, based on interviews, with no sample size or sponsor stated on the page.
- Scott Cunningham’s causal inference textbook says that difference-in-differences is a causal design, not simply four numbers subtracted in a row.
- Gartner’s 2025 Magic Quadrant abstract says that transportation management systems help supply chain leaders manage disruptions and optimize costs, a claim that a measurement plan has to turn into numbers.
A saving that cannot survive a finance review is not a saving, however large the dashboard says it is.
Why Locus Leads for Measurable Transportation Outcomes
A TMS should make its own results measurable. Three things set Locus apart.
Recognized by analysts and selected after evaluation. Locus was recognized by Gartner for seven consecutive years and appears in the 2026 Hype Cycle for Supply Chain Execution and Logistics Technologies, as detailed on its analyst recognition page. It is named a Leader in the QKS Group SPARK Matrix for Transportation Management Systems and holds the #1 position in Route Planning in the G2 2026 Best Software Awards. In October 2025, Ingka Investments, the investment arm of Ingka Group, the world’s largest IKEA retailer, acquired Locus. Ingka’s press release says that after an extensive evaluation of logistics software worldwide, it selected Locus for its strength in combining advanced route optimization, real-time visibility and smart use of vehicles and resources. Locus continues to operate independently.
Outcome evidence stated per deployment. Locus’s guide to its architecture says each published figure describes that specific deployment and not a platform average. Its case studies report, for example, a Fortune 50 parcel network moving from 75% to 92% weekly execution, a Canadian grocery brand cutting its fulfillment cycle by 33% and costs by 15%, and a paint company flagging 5% to 6% invoice variance before payment.
Measurement built into the platform. Locus includes advanced analytics dashboards, a Settlement Agent that checks carrier invoices against contracts before payment and a Control Tower that tracks live execution. It has optimized 1.5B+ deliveries for 360+ enterprise customers across 30+ countries.
Locus’s public pages do not state a standard baseline or holdout method, and some aggregate claims on its site are not tied to a named case, so ask for the measurement plan in writing and for customer references with the baseline period and metric definitions.
How to Prove TMS Value in 90 Days
The six steps below produce a result a finance team can audit.
1. Pick a short list of metrics and define each one
Choose five or six: cost per shipment normalized for mix, on-time delivery, tender acceptance or first-attempt rate, planner hours per shipment, invoice variance rate and expedite share. Write the formula, the data source and the owner for each before you start.
2. Freeze a baseline
Capture at least eight to thirteen weeks of history on the same definitions, and note seasonality and mix. A baseline taken after the go-live, or one that changes its definitions midway, cannot be defended.
3. Choose a comparison group
Pick control lanes or depots that match the treated ones on volume, mix and season and that stay on the old process. If a control is impossible, compare against a market index. A control group absorbs the market effects that a before-and-after view credits to the TMS.
4. Set attribution rules in advance
Decide which changes count as TMS-caused, such as carrier selection, consolidation or mode choice, and which are external, such as fuel, general rate increases and volume swings. Record the rules, because the argument at day 90 is about attribution.
5. Measure weekly and review at days 30, 60 and 90
Report the metrics weekly, with the control alongside, and review at each checkpoint against thresholds agreed up front. Early readings are noisy, so decide in advance what you will not conclude from them.
6. Classify the savings with finance
Separate hard savings, where cash out fell, from cost avoidance and from productivity, where hours were freed but not yet redeployed. Report the hard number as the headline and show the rest separately, with assumptions.
| Also Read: Why Locus Is the World’s First Agentic TMS |
|---|
Before-and-After, Matched Control, Market-Indexed and Vendor-Reported Results: Key Differences
| Approach | What it shows | Main risk | Likely finance reaction |
|---|---|---|---|
| Simple before and after | Change over time | Credits the TMS with market movement | Challenged |
| Matched control group | Change versus lanes that did not change | Control not truly comparable | Accepted if matching is documented |
| Market-indexed before and after | Change relative to an external rate index | Index may not fit your lanes | Often accepted as a fallback |
| Vendor-reported average | What other customers saw | Different mix, definitions and period | Treated as context, not proof |
What to Look for in a TMS’s Measurement Capability
Exportable, consistent history
Check that you can export shipment-level cost and service data for the baseline period on the definitions you chose. A system that cannot reproduce last quarter cannot prove this quarter.
Lane-level cost allocation
Look for cost by lane, mode and carrier with accessorials, so treated and control lanes can be compared. Aggregate cost per shipment hides mix shifts.
Planned versus actual tracking
The system should record the plan and the execution, so savings from planning can be separated from execution variance.
Invoice-versus-contract checks
Look for audit of carrier invoices against contracts before payment, since stopped overcharges are hard savings finance recognizes.
Benefit tracking you can hand to finance
Ask whether reports can show the baseline, the control, the result and the assumptions in one place that finance can audit.
Proving TMS Value in Action: Real-World Results
A worked example on illustrative numbers. The lanes and costs are assumptions, so replace them with yours. A shipper moves 12,000 shipments a quarter on four lanes managed in the new TMS and a similar 12,000 on four control lanes that stay on the old process. Average cost per shipment on the treated lanes falls from $182 to $171, and on the control lanes from $180 to $177 because fuel and rates eased.
| Measure | Treated lanes | Control lanes | Result |
|---|---|---|---|
| Baseline cost per shipment | $182 | $180 | |
| Cost per shipment after 90 days | $171 | $177 | |
| Change | -$11 | -$3 | Difference-in-differences: -$8 |
| Quarterly saving on 12,000 shipments | $132,000 naive | $96,000 attributable |
The naive before-and-after figure of $132,000 overstates the attributable saving by $36,000, or 37.5%, because $3 per shipment came from the market. Now classify the $8. Carrier selection, consolidation and mode choice account for $6.20, or $74,400, which is hard freight cost. Invoice variance stopped before payment accounts for $1.10, or $13,200. Accessorial avoidance accounts for $0.70, or $8,400. The three sum to $96,000. Separately, 400 planner hours saved at $45 an hour is $18,000, but until headcount or overtime changes it is productivity and not cash, so it stays out of the headline.
A Fortune 50 enterprise. The enterprise, with 4,500+ drivers across 51 locations, moved from 75% to 92% weekly execution after centralizing parcel dispatch on Locus, uncovering $14M+ in annualized operational opportunity. Read the Fortune 50 case study.
A Canadian grocery brand. The brand, delivering across 30+ cities, cut its order-ready-to-delivered cycle by 33%, lowered fulfillment costs by 15% and reduced time on manual shipping tasks by 25% through carrier orchestration. Read the Canadian grocery case study.
Common TMS Value Measurement Mistakes to Avoid
Comparing a quarter with the previous quarter. Market movement and seasonality are mixed into the result, so use a control group or an index.
Changing definitions midway. A metric redefined after go-live cannot be compared with its baseline, so freeze definitions first.
Counting freed hours as savings. Hours saved are not cash until headcount, overtime or outsourcing changes, so report them separately.
Using a vendor average as your result. Other customers have different mix and baselines, so treat averages as context only.
How Locus Approaches Measurable Outcomes
Locus, the world’s first Decision-Intelligent, Agentic TMS, plans and executes transportation under governance mechanisms that record why each decision was made, and reports performance through analytics dashboards, its Control Tower and a Settlement Agent that checks carrier invoices against contracts before payment. Its dispatch management software connects to TMS, WMS, OMS, CRM and ERP systems through APIs, and its execution sandbox lets a team test a configuration before it runs. Locus’s public pages do not state a baseline or holdout method, and its customer figures describe specific deployments, so ask for the measurement plan and for references that match your lanes. To plan your own 90-day proof, schedule a demo.
For logistics and finance leaders asking how to prove TMS value, Locus offers recorded decisions, analytics and invoice checks that make results auditable, so the number you present is one finance can accept.
Frequently Asked Questions
How do you measure the ROI of a TMS? Freeze a baseline, compare treated lanes with matched control lanes, set attribution rules and classify savings as hard, avoidance or productivity. Report the hard number as the headline.
What is a control group in a TMS pilot? A set of comparable lanes or depots that stay on the old process, so market effects such as fuel and rates show up in both groups and can be subtracted from the result.
How long does it take to prove TMS value? A 90-day plan with 30, 60 and 90-day checkpoints is workable if the baseline covers at least eight to thirteen weeks. Seasonal operations may need a longer window.
What TMS metrics will finance accept? Cost per shipment normalized for mix, invoice variance stopped before payment and accessorial avoidance are cash measures. Planner hours saved count as productivity until headcount or overtime changes.
Is there a standard TMS payback benchmark? We found no independently verifiable one. Statistics repeated online should be traced to the source before use, and one Gartner-attributed payback figure could not be traced to Gartner.
Does Locus provide a measurement method? Locus’s pages say figures describe specific deployments and its ROI guidance says to baseline before implementation. They do not state a holdout method, so ask for one in writing.
Ishan, a knowledge navigator at heart, has more than a decade crafting content strategies for B2B tech, with a strong focus on logistics SaaS. He blends AI with human creativity to turn complex ideas into compelling narratives.
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