Logistics and distribution
Do TMS, WMS and telematics vendors train AI on your data?
By SourceX Editorial · Reviewed by Noah Loul ·
Short answer
Some TMS, WMS and telematics vendors may use customer data to build AI features, and your contract decides whether yours can. Look for four terms: rights to aggregated or de-identified data, model training permissions, an opt-out written into the agreement, and data return and deletion at exit. Read the order form, master agreement, DPA and any AI addendum together.
Key takeaways
- Whether a vendor can train on your data is answered by the full contract stack, not by a product announcement.
- A broad license to aggregated or de-identified data can permit model training even when training is never mentioned.
- Telematics agreements deserve the closest read, because pooled fleet data feeds benchmarks, safety scores and risk models.
- Ask which AI features use per-tenant models and which use pooled models trained across customers.
- Vendor rights over your data can limit the exclusivity you could offer if you later license your own records.
Where the answer sits: the contract stack#
Whether a TMS, WMS or telematics vendor may train AI on your data is answered by the contract stack, not by a product announcement. Most logistics software is governed by several documents that refer to one another, and the training question can be settled, or reopened, in any of them.
- Order form or subscription agreement, which may override the master terms.
- Master subscription agreement, or online terms incorporated by link that the vendor may be able to update.
- Data processing addendum, which governs personal data such as driver and contact records.
- AI, beta or product-specific terms that attach when a copilot or agent feature is enabled.
- Privacy policy and trust pages, which describe practice but may not bind the vendor.
Reading the stack in order of precedence#
Reading the stack in order of precedence matters because the documents can disagree. An order form that limits data use can override broader language in online terms, while an AI addendum accepted when a user clicked enable can widen what the vendor may do.
Look for the precedence clause first, usually in the master agreement, then read the documents from most specific to least. Note who accepted each one and when: a supervisor enabling a beta feature may have accepted terms that legal never saw.
The clauses to find#
The clauses below decide whether training is permitted, restricted or simply not addressed. Mark each as present, absent or unclear for every logistics system you run.
| Clause | What to look for | Why it matters |
|---|---|---|
| Customer data definition | Whether it covers data the system generates, not only what you upload | Scan events, ETAs and status history may fall outside it |
| Aggregated or de-identified data | A license for the vendor to use data once identifiers are removed, often without an end date | A common basis for benchmarks and model training |
| Usage data and telemetry | Rights over how you use the product, and how usage is defined | Can be drafted broadly enough to reach transaction content |
| Feedback | Rights to anything you tell or show the vendor | Corrections to AI outputs can count as feedback |
| Model training | Express permission, express prohibition or silence | Silence plus a broad de-identified data clause may still allow training |
| Opt-out | Whether it lives in the contract, an admin setting or an email request | Only a contractual opt-out reliably survives product changes |
| Subprocessors | Whether AI model providers are named and on what terms | Your data may reach a third party's model |
| Return and deletion | Export format, export window, deletion of copies and derived data | Decides what you keep and what the vendor keeps |
How telematics agreements differ#
Telematics agreements differ because the data is produced by the vendor's devices on your vehicles, and pooled fleet data is the natural input for industry benchmarks, safety scores and risk models. Read the de-identified data clause closely, including whether it covers location trails and driving events and whether the rights survive the end of the contract.
Driver data adds another layer. ELD records, driver-facing video and face analysis raise employee privacy and biometric questions, and the DPA should say how driver personal data is processed and whether any of it feeds the vendor's models. Who owns the data in the first place is a separate question from what the vendor may do with it, and both deserve an answer.
Per-tenant and pooled AI features in TMS and WMS#
TMS and WMS AI features draw on your data in one of two ways: per-tenant, where a model learns only from your own records, or pooled, where the vendor trains one model across many customers. Carrier recommendations, ETA predictions, slotting suggestions, rate guidance and document extraction can be built either way.
Pooled training is where your rates, lanes and customer patterns could shape what other customers see. Ask the vendor which features are pooled, whether your account can stop contributing without losing the core product, and whether earlier contributions are removed or simply frozen.
Document extraction deserves its own question. Bills of lading, rate confirmations and proofs of delivery run through an extraction feature carry shipper names, consignee addresses and rates, and improving extraction models usually requires real examples. Ask whether your documents are retained for that purpose and for how long.
What you can negotiate#
Negotiation room varies by vendor and contract size, but these asks are common and reasonable. The middle-ground column shows positions that can bridge the gap; counsel should judge each against your own risk.
| Ask | Typical vendor concern | Possible middle ground |
|---|---|---|
| No training on our data | Product improvement depends on pooled data | No training on content; usage metrics allowed |
| Narrow de-identified data rights | Benchmarks are a product line | Aggregate statistics only, with no lane, rate or customer detail and no model training |
| Contractual opt-out | Operational complexity | Opt-out recorded in the order form |
| Notice before data terms change | Online terms update for all customers at once | Advance notice plus a right to terminate if data terms change |
| Deletion of derived data at exit | Derived data is mixed with other customers' data | Deletion where separable, with written certification |
Illustrative: a freight broker reviews three vendors#
Illustrative: a fictional freight brokerage with a small asset fleet reviews its TMS, its load-tracking integration and its telematics platform after the TMS vendor launches an AI quoting assistant. The general counsel builds a one-page grid using the clause table above.
The TMS order form is silent on training, but the online terms grant the vendor an open-ended right to use de-identified data for any purpose. The telematics agreement allows benchmarks from pooled data. Counsel negotiates an amendment limiting the TMS vendor's de-identified data right to aggregate statistics, accepts the telematics benchmark clause with a carve-out for model training, and records both in the contract register.
The broker also confirms that its export rights cover full load, check-call and email history, so it can keep a complete archive and later consider licensing it on its own terms.
Why vendor terms matter if you license your own data#
Vendor terms matter for licensing because they shape what you can export and what you can promise a buyer. If a vendor already holds rights to de-identified versions of your records, exclusivity may not be available, and a buyer will want to know about those rights before signing.
In the SourceX five-step transaction, the Rights step reviews vendor terms alongside customer contracts and employee notices, and the SourceX Evidence Packet records which rights the license rests on. Rights are assessed deal by deal with the company's counsel.
Frequently asked questions
If our contract never mentions AI training, can the vendor train on our data?
Not necessarily either way. Silence on training does not settle the question, because other clauses, such as a license to de-identified data or to usage data, may be broad enough to cover it. How those clauses are read depends on their wording and governing law, so have counsel review them together.
Does a de-identified data clause cover driver data?
It may, depending on how the clause and the DPA define personal data and de-identification. Driver records combined with location trails can be hard to truly de-identify. Check whether the DPA restricts the vendor's use of driver personal data and whether de-identified driver data is carved out of any training rights.
Can a vendor change its terms to allow training after we sign?
Some agreements incorporate online terms that the vendor may update, sometimes with notice and sometimes without. Check the amendment clause, whether your order form fixes a version of the terms, and whether you have a right to object or terminate if data terms change. Software vendors outside logistics have revised AI language after customer pushback: Zoom added a sentence to its terms in August 2023 saying it would not use audio, video or chat customer content to train its AI models without consent, and Slack said in May 2024 that it does not use customer data to train its generative AI large language models. Terms move, so record the version you reviewed.
Does vendor training on our data reduce what we could license ourselves?
It can affect exclusivity rather than ownership. You may still be able to license your own copy of the records, but a buyer seeking exclusive rights will want to know that a vendor already holds broad rights to similar de-identified data. Disclose those rights during scoping.
How often should we recheck vendor data terms?
Recheck at every renewal, whenever a vendor announces an AI feature and whenever a new online terms version is published. Assign an owner for each major system, such as the TMS, WMS, ERP and telematics platform, and keep a short register of the current data terms and the date they were last reviewed.
Sources
- On August 7, 2023, after backlash, Zoom added to its Terms of Service a sentence stating it will not use audio, video or chat Customer Content to train its AI models without consent. Source
- TechCrunch reported on May 17, 2024 that Slack drew backlash over privacy principles allowing customer data to train its machine-learning models unless an organization opted out, and Slack responded that it does not use customer data to train its generative AI large language models. Source
Related resources
- QuestionShould companies sell or license their data?
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