Sell-through data arrives late and in many formats.
What it costsDecisions made on old numbers.
What changesDistributor and retailer reports read and loaded as they arrive, in one model.
Agentic OS · ContextAI Transformation · Consumer goods and food
Enterprise AI for demand, distributors and trade spend.
For consumer goods and food and beverage companies: agents that forecast demand, read distributor and retailer data and check trade promotion claims, alongside AI for quality, regulatory labelling and supplier management, each approved by a person.
Where AI helps first
- DemandForecasts by SKU and market
- DistributorsSell-through read and loaded
- Trade spendClaims checked against deals
- QualityDeviations and complaints
- LabellingLabels checked against rules
- SuppliersOrders and invoices matched
Every agent action approved by a named person
Written for
CEOs and commercial directors, Supply chain and planning leaders and Quality and regulatory leaders
The question you came with
Why do we see sell-through a month late, and pay trade claims we cannot check?
Part of Enterprise AI Transformation
Where it starts in consumer goods. The first work handed to agents: demand forecasting, distributor data agent and trade promotion claim checks. Each one drafts or flags, and a named person approves.
See the whole programmeWhat breaks in consumer goods
If two of these are true, the rest of this page is about you.
Trade promotion claims are paid without proper checks.
What it costsMargin leaks through unsupported deductions.
What changesClaims checked against agreed deals and proof of performance before payment.
Agentic OS · FlowForecasts miss demand shifts.
What it costsStock-outs and write-offs.
What changesDemand forecast by SKU and market, with signals from promotions, weather and events.
Agentic OS · PulseQuality complaints are handled site by site.
What it costsRecalls and regulator attention.
What changesComplaints and deviations classified across sites, with patterns flagged early.
Agentic OS · AgentsYour role
What changes for each of the people who sign off.
CEOs and commercial directors
Faster, better decisions on demand and trade.
- Sell-through visibility by market
- Trade spend return
Supply chain and planning leaders
Forecasts that match reality.
- Forecast accuracy by SKU
- Stock-outs and write-offs
Quality and regulatory leaders
Problems seen before they become recalls.
- Complaint trends by product
- Label checks before release
What we build for consumer goods
The capability on the left, what your team would notice on the right.
- Demand
Demand forecasting
Forecasts by SKU, channel and market, combining sales, promotions and external signals.
- Distributors
Distributor data agent
Distributor and retailer reports read from any format and loaded into one model.
- Trade spend
Trade promotion claim checks
Claims and deductions checked against agreed deals and proof of performance.
- Quality
Quality and complaint analysis
Complaints and deviations classified across sites, with trends flagged.
- Labelling
Label and claim checks
Labels and marketing claims checked against regulations and your specifications.
- Suppliers
Supplier order and invoice matching
Purchase orders, deliveries and invoices matched, with exceptions routed.
Enterprise AI in consumer goods, beyond sales
The same programme runs in operations, finance and service. These are the first workflows we usually see handed to agents. Each one drafts, checks or flags; a named person decides.
- Commercial
Sell-through loaded from distributors; trade claims checked before payment.
- Supply chain
Demand forecast by SKU; replenishment suggestions for planners.
- Quality
Complaints and deviations classified, with patterns flagged.
- Regulatory
Labels and claims checked before release.
- Finance
Supplier invoices and deductions matched, with exceptions routed.
Where we start
Small, fixed and useful on its own. You decide after each step.
- Weeks 1 to 3
AI Transformation Review
Operations, systems and data reviewed, and the first workflows ranked by value: usually distributor data or trade claim checks.
- First pilot
One workflow in production
The highest-value workflow live with a baseline, a named approver and an audit trail.
- Then
Demand and quality
Demand forecasting and quality analytics, connected to your ERP and planning tools.
Questions
Can it read distributor reports in any format?
Yes. Spreadsheets, PDFs and portal exports are read, mapped to your products and loaded.
Will agents reject trade claims?
They check claims against your deals and flag what is unsupported. People decide what to pay.
Do you work with our ERP and planning tools?
Yes. We connect to the ERP, planning and trade management tools you run.
Where do we start?
With the AI Transformation Review. It names the first workflow worth handing to an agent, and what has to be fixed first.
Where to start
Fixed-scope offers that fit this industry. Each has a set timeline and a deliverable you keep.
Offer · Assess
AI-Ready Data Assessment
A clear view of which data blocks which AI use case, and the plan to fix it
Offer · Pilot
E-invoicing Compliance with AI Extraction
Outgoing e-invoices compliant in each market, and incoming invoices read by AI
Offer · Pilot
Finance Agent: AP and Reconciliation
Invoices read, matched and posted automatically, with exceptions resolved or drafted by an agent
Keep going
The services, tools and rules that matter most in consumer goods and food.
Services for consumer goods
AI transformation for the agentic engine era
Start with a fixed-fee AI transformation review. We map your systems, data and teams against the six layers of Pegasus Agentic OS and name the first workflows to hand to agents. You keep the findings whether or not you work with us.