Natural-language questions
Ask operational questions in plain language within the authorised data scope.
Turn operational data into clear insight and decision support
Give teams a shared decision space for questions, indicators and priority actions while keeping the source of the data visible.
Brain
Build the right context before producing an answer
Brain is designed to summarise operational data while preserving user permissions and company context. Each recommendation is a reviewable support layer rather than the final business decision, with source and time context kept visible.
Core capabilities
Core capabilities that accelerate work while keeping data, access and operational boundaries clear.
Summaries and indicators
View scattered signals in a concise context that supports decision-making.
Risk signals
Turn inventory, integration or performance deviations into review priorities.
Action support
Move a recommendation into a controlled workflow together with its source and user approval.
How does it work?
Move forward through measurable, verifiable steps instead of changing everything at once.
- 01
Set the data scope
Define which companies, warehouses, channels and indicators the user can access.
- 02
Clarify the question and time frame
Keep the comparison period, objective and expected output format clear.
- 03
Review the source
Verify the freshness of the data and the records behind the summary.
- 04
Proceed with human approval
Require review by an authorised user before turning a recommendation into a decision or automated action.
Operational impact
Faster orientation
Narrows the initial area of investigation across complex reports.
A shared decision language
Helps teams discuss decisions using the same indicators and time context.
Controlled use of AI
Makes access, source information and user approval part of the recommendation workflow.
Frequently asked questions
Common questions about scope when evaluating the product or solution.
Does Brain make decisions automatically?
Brain provides decision support; critical business actions are carried out with the appropriate user permission and approval.
Which data can it access?
Only information the user is authorised to access within their company is included in the assessment.
Can a recommendation be incorrect or incomplete?
AI outputs can contain errors; data freshness, source review and human oversight are essential for critical decisions.
Are other Retail Lab. products required?
Brain can build a richer operational context when used with other products; the connection scope is defined for each project.
Related pages
Let us define the right path for your needs.
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