Text & enterprise / FIUND
E-commerce & product data.
Structured commerce records and product material spanning transactions, compatibility, fulfilment and support.
Training & evaluation · Scope confirmed for your project
SOURCE CONTEXT
Source structure and relationships.
Define the product relationships and operational events you need, and which personal or commercially sensitive fields should be excluded.
Product descriptions and images
Transaction-linked records
Product compatibility information
Product understanding · Commerce workflow evaluation
TECHNICAL BRIEF
Define the source and structure.
These are decisions to agree for your collection, rather than specifications assumed across every source.
Schema and join keys
Name the fields and labels your task requires. Ask for clear definitions and distinguish supplied metadata from annotations prepared for your project.
Historical coverage
Set the historical coverage requirements that matter to your task. Include an acceptable example and any exclusions to check during sample review.
Privacy and source restrictions
Identify the intended AI use, sensitive fields and any exclusions. The permissions and privacy treatment are confirmed for the selected material.
BEFORE DELIVERY
A defined scope.
A considered handoff.
Evaluate the fit.
Agree what a useful sample must demonstrate, including the source conditions and required relationships.
Confirm the permissions.
Review the intended AI uses, relevant exclusions and documentation for the selected material.
Agree the package.
Specify files, metadata, preparation and acceptance criteria before proceeding with delivery.
START A CONVERSATION
Let’s scope your
data request.
Tell us what your model needs from e-commerce & product data. We’ll assess the sourcing options and discuss a suitable next step.
Availability and collection terms are confirmed after review.
Frequently asked questions
Can relationships between documents or assets be preserved?
Include the identifiers, links or source-to-output pairings your model needs. Privacy treatment, file structure and permitted uses are assessed for the proposed material.
What should I include in a e-commerce & product data brief?
Start with your model task and the source material you need. Include schema and join keys, historical coverage, privacy and source restrictions so we can assess fit and propose a useful evaluation sample.
When are availability, pricing and permissions confirmed?
After we assess your brief and identify suitable material or a capture scope. Samples, permitted AI uses, preparation and delivery terms are agreed for the proposed collection before a purchase.