Every Key Account Manager in the consumer industry knows the feeling. A deal sheet is the commercial agreement that captures what was negotiated — products, pricing, trade spend, sell‑in dates, and terms — and is shared between the manufacturer and retailer before a promotion goes live. A promotion is planned, the numbers are locked, and now comes the part no one talks about in the job description: hunting through multiple screens to copy pricing data, reformatting everything into retailer A’s template, then doing it again for retailer B in English, and again for the regional grocer who uses a fillable PDF in French.
Multiply that by 60 to 100 or even 1000+ deals a year per planned account — with a simple repeat promotion taking 30 to 45 minutes and a new or complex multi‑SKU event running to several hours — and we're looking at over 100 hours a year lost to administrative work that adds no commercial value.
It gets worse downstream: when deal sheet data does not match what is in the planning system, claims disputes follow — and with trade promotions in CPG companies typically accounting for 16–24% of gross sales revenue — the second‑largest item on the balance sheet after cost of goods sold — the stakes across the entire deal lifecycle are simply too high to leave to manual processes. This is especially true for KAMs, Sales Operations, Trade Analysts, and Finance teams managing claims and reconciliation.
SAP Revenue Growth Management is purpose‑built for consumer products companies managing the full trade promotion lifecycle — from annual planning and fund allocation through promotion execution and claims settlement. SAP Revenue Growth Management brings promotion planning, pricing, trade spend, customer master data, and approval workflows into a single system, giving KAMs, Sales Operations, Trade Analysts, and Finance teams a shared source of truth.
SAP Revenue Growth Management's latest evolution introduces AI-assisted deal sheet generation, a capability designed to eliminate the manual, error‑prone work that sits between a finalized promotion plan and a retailer‑ready deal.
For more information on our current capabilities, see An Overview of SAP Revenue Growth Management.
3.1. More Time to Sell: Less Admin Work, More Deals Achieved
A significant share of KAM time is consumed by internal administration rather than active selling — and deal sheet creation is one of the heaviest contributors. With AI‑assisted deal sheet generation, SAP Revenue Growth Management now automates one of the most time‑intensive parts of that process:
One system, zero copy‑paste.
Generating a deal sheet traditionally requires switching between the promotion screen, internal pricing modules, third-party applications, and whichever template the retailer last sent over. AI‑assisted deal sheet generation pulls promotion data directly from SAP Revenue Growth Management — products, pricing, trade spend and sell‑in dates — and auto‑populates the required fields into either an SAP‑standard template or a retailer‑specific template that the KAM uploads. A task that once took 30 minutes for a simple promotion and several hours for a complex one now takes well under a minute for most templates, with generation time depending on document size and complexity.
Working hours redirected to what drives revenue.
With 60 to 100 or even 1000+ deals per account, per year being the norm for an active KAM account, that can easily be more than 100 hours of deal‑sheet admin per KAM per year — reclaimed. Those hours go back into negotiation preparation, account planning, and building the kind of retailer relationships that make promotions easier to close and more likely to perform.
3.2. Accuracy That Accelerates Claims and Resolves Disputes Faster
Speed matters, but not at the cost of accuracy — particularly when deal sheets flow directly into claims settlement, finance reconciliation, and audit processes. AI‑assisted deal sheet generation addresses accuracy at the source, so that Claims Analysts, Finance, and Sales Operations spend less time chasing discrepancies and more time on value‑adding work:
Grounded in master data, not manual re‑keying.
Every field in an AI‑generated deal sheet is populated from master data in SAP Revenue Growth Management — the same authoritative data used across SAP systems for pricing, funds, and condition contracts. This matters because the deal sheet is a reference document throughout the promotion lifecycle: each side has a reliable record of what was agreed, covering products, pricing, trade spend, timing, and terms. When a retailer submits a claim, Finance can match it against what was agreed in the system — reducing back-and-forth in claims management, supporting the matching of backup documents to promotions and claims during reconciliation, and giving teams a clear reference if disputes arise.
A hybrid AI approach built for reliability.
AI‑assisted deal sheet generation uses both an LLM and an algorithm layer. The LLM handles semantic understanding — making sense of what each field means and how the document is laid out, because each customer's format is different — and maps that extracted content to the corresponding promotion fields in SAP Revenue Growth Management. The algorithm layer then identifies precisely which cells or fields in the output document are the destinations for the data to be written into. Meanwhile, validation is carried out in the back end. Together, this approach produces consistent, reproducible results — and it goes beyond what most document AI tools do: rather than only reading a document, the system writes back into it, generating a completed deal sheet based on the template provided. Take trade spend as an example: the LLM recognizes that “TS%” and “Trade Spend %” refer to the same field, retrieves the corresponding value from SAP Revenue Growth Management, and hands it to the algorithm layer, which locates the exact cell in the output document and writes the value in. No guesswork — just consistent, reproducible output.
3.3. Generate for Any Retailer, Any Format, Any Language — in One Click
In trade promotion, there is no universal deal sheet standard. Each retailer maintains its own template — specific field names such as product IDs, layouts, required data points, and in many markets, their own language. SAP Revenue Growth Management supports both an SAP‑standard template and retailer‑specific uploads in Excel and fillable PDF formats, so KAMs always work in the format their account requires. With AI handling the field mapping, template diversity stops being a bottleneck:
Engineered to handle real‑world document complexity.
Retailer templates are rarely clean: they include merged cells, fields where values are written to the right of a label or two rows below it, and multi‑page layouts for large promotions. SAP Revenue Growth Management addresses these structural variations through the same hybrid AI and algorithmic approach. Rather than hard-coding every structural variation, the system reads each template as-is, with no pre-configuration required for different layouts — interpreting ambiguous headers, resolving merged regions, and adapting to unfamiliar template structures — to handle both Excel and fillable PDFs that KAMs encounter in practice.
Built for multilingual markets without extra steps.
For CPG companies operating across Canada, Europe, and other multilingual markets, AI‑assisted deal sheet generation handles templates in different languages natively. A French‑language retailer template and an English SAP‑standard template are treated the same way. A KAM working entirely in English can upload a French retailer template, enter promotion data as usual, and the system maps English‑sourced values into the correct French fields automatically — no translation, no bilingual workaround required.
The AI‑assisted deal sheet generation in SAP Revenue Growth Management became available to customers this May, supporting both SAP‑standard templates and retailer‑specific Excel and PDF formats across multiple languages. This is the starting point, not the destination.
Roadmap items include:
- Integrating third‑party retailer reference data directly into the workflow, eliminating personal cheat sheets, and keeping retailer item codes, contacts, and submission requirements centrally managed.
- Agentic workflows and deeper connections into the broader SAP AI ecosystem.
If you are a CPG company actively managing trade promotions and curious about AI‑assisted deal sheet generation in your environment, we want to hear from you. Contact us at RGM_Engage@sap.com to collaborate. The future of trade promotion execution is being shaped now — and your use case could be part of it.
More Information
Product Page for SAP Revenue Growth Management
