Retail & CPG
Trade promotion management, deductions, and demand, resolved from live data. One certified definition of trade spend, sell-through, and demand, with access scoped by region, brand, or category.
Get guided setupOne certified definition of trade spend, sell-through, and demand
Retail and CPG organizations track trade promotion spend, sell-through, and demand across regions, brands, and categories, often from systems that are reconciled manually on a weekly cycle. Deductions that do not match the original trade plan are a common source of revenue leakage in this reconciliation gap. QuaerisAI resolves these questions from live systems using one certified definition, so figures stay current rather than reflecting a snapshot from the last export.
Access is scoped by region, brand, or category, so a regional lead sees their market while a category manager sees their category, all governed by the same access model as the rest of the platform.
Benefits
This agent framing helps commercial teams work from current trade and demand data instead of a weekly export.
- Time efficiency: Remove the manual reconciliation behind a weekly trade promo export.
- Consistent definitions: Trade spend, sell-through, and demand are calculated the same way everywhere.
- Traceable answers: Every figure traces back to its source system.
- Governed access: Region, brand, and category access is enforced automatically.
- Current data: Figures reflect live systems, not a static weekly export.
- Consistent methodology: The same certified logic applies across every region and category.
Problem addressed
Trade promotion spend, sell-through, and demand data typically live in separate systems, retail point-of-sale, trade management platforms, supply chain systems, that are reconciled manually into a weekly or monthly export. By the time that export is ready, the data it reflects is already aging, and a question that falls outside the export’s scope requires a new manual pull.
Resolving these questions from live systems, through one certified definition, removes both the export lag and the manual reconciliation work behind it.
What the agent does
- Resolves trade spend, sell-through, and demand questions from live systems
- Applies one certified definition consistently across regions and categories
- Traces every figure back to its source retail, trade, or supply chain system
- Scopes access by region, brand, or category automatically
- Removes the lag of a weekly manual export cycle
Why do this with AI
Trade and demand data spans multiple systems that were not built to reconcile with each other automatically, which makes manual weekly compilation a recurring, repetitive task. An agent grounded in one certified definition removes that recurring reconciliation work by resolving questions directly from live systems.
Instead of waiting for the next weekly export, commercial teams can ask trade and demand questions directly and get a current answer.
Who this agent is for
- Remove the manual reconciliation behind a weekly trade promo export
- Compare trade spend and sell-through consistently across regions and categories
- Trust that demand figures reflect current, not static, data
- Enforce region, brand, and category access automatically
- Ask trade and demand questions directly instead of waiting on the next export
How it works
The agent resolves each question through the same governed pipeline as every other QuaerisAI agent: identity and permissions are checked first, the question is mapped to certified definitions, a governed query runs against the source data, and the result is returned with a full audit record attached.