Data library
Logistics data for AI.
Quick answer
Logistics data records how goods move: shipments, dispatch decisions, exceptions and freight documents. It helps AI developers build dispatch agents and document-extraction tools.
What's included#
- Shipment events
- Dispatch messages
- Exception notes
- Bills of lading and PODs
Where it typically lives
How AI developers use it#
- Dispatch agents
- Document extraction
- ETA prediction
Preparation and privacy#
- Anonymize driver and location data
- Remove shipper identities
How SourceX approaches it#
Preparation requirements are agreed with you before any work begins, and the approved dataset is delivered only after an executed agreement and your explicit authorization of buyer access.
Industries with this data
Datasets built from this data
Dataset specs AI labs can request through SourceX, sourced to spec from businesses like yours.
- Operations and the physical worldSupply chain and logistics operations recordsA supply chain dataset is a connected history of how goods were ordered, moved and delivered: purchase orders, supplier messages, advance ship notices,…Structured recordsOffice documents and PDFsText
- Workflows and human feedbackEnterprise workflow and task execution historiesAn enterprise workflow dataset is a set of task execution histories: connected records that follow one business task from the incoming request through the…Structured recordsText
- Workflows and human feedbackHuman feedback and QA-scored workA human feedback dataset is a set of real work products paired with the judgments people made about them: QA scorecards, approvals and rejections, reviewer…Structured recordsText
See listings in the data catalog →
Typical fields#
- Record ID (pseudonymous)
- Created and closed timestamps
- Category or type
- Request or input text
- Ordered steps or actions
- Outcome or resolution
- Role of each actor (not identity)
Sample record
Illustrative · fictional
- record_id
- rec_8f21c0
- created / closed
- 2023-04-11 → 2023-04-12
- category
- Billing question
- request
- Customer [NAME] asks why invoice [ID] was charged twice.
- steps
- 1. Checked payment log 2. Found duplicate 3. Issued refund
- outcome
- Resolved · refund issued
- actors
- customer, agent_tier1
What buyers look for#
- Complete start-to-finish records
- Consistent fields over years
- Clear, labeled outcomes
- Low duplication
- Work done by skilled professionals
- Edge cases and failures, not only successes
Personal details removed#
- Names
- Email addresses
- Phone numbers
- Postal addresses
- Account, customer and order numbers
- Government IDs
- Payment details
- Health information
- IP addresses and device IDs
- Credentials, keys and hostnames
How buyers test it#
- Sample review by buyer researchers
- Residual personal-data scan
- Duplicate and leakage check against public data
- Label and outcome accuracy spot-check
- Rights and consent documentation review
Rules that may apply
Federal Wiretap Act 18 U.S.C. 2511
Applies to recorded calls and intercepted communications; some states require all-party consent. Assessed deal by deal.
California Consumer Privacy Act Cal. Civ. Code 1798.100 et seq.
May apply where records include personal information of California residents and the business meets the law's thresholds. Assessed deal by deal.
Reviewer note: applicability is confirmed with counsel for each deal. Not legal advice.
All data types · Business documentation · Code review records · Company email archives
Related resources
- IndustryFreight brokerages data
- IndustryThird-party logistics data
- QuestionDo AI companies buy private business data?
- QuestionPublic data vs proprietary data: what's the difference for AI?
- InsightCan logistics and freight companies sell their data to AI companies?
- InsightCan restaurants and hospitality groups sell their data to AI companies?
- InsightCan SaaS companies sell their data to AI companies?
- SolutionOperational data: the step-by-step record of how work gets done
- DataStandard operating procedures
- DataInternal knowledge bases
- GlossaryEnterprise data
- GlossaryData processing agreement
See if your company qualifies
A short company assessment. No data uploads are needed.