Every B2B deal has a critical window. The customer sends an RFQ, evaluates responses, and makes a shortlist – often within the same day. Miss that window, and the work your sales team put into the relationship may not matter. Research consistently shows that quoting within the same business day lifts win rates by 5–15%. Yet for most sales teams, that window closes before the work is even halfway done.
The reason is not a lack of effort. It is a process that was never designed for speed.
Graip.AI’s Quote Management Agent changes that. It handles the full RFQ-to-quote workflow – from reading an inbound request to posting a validated quote directly into your CPQ, CRM, or ERP – so your team responds within the decision window every time.
Why Quoting Is Harder Than It Looks
The difficulty of the quoting process is rarely about any single task. It is about the accumulation of small, interconnected dependencies, each of which requires knowledge, context, and time.
Customers do not send RFQs in your format. They send their own parameters, such as part numbers, engineering references, or free-text descriptions that you need to map to your internal catalog before considering the price. Approval requirements vary by deal size, product type, or customer tier. Historical terms live in past quotes that no one has time to dig up manually. Unit-of-measure mismatches need resolving. And throughout all of this, the clock is ticking as your customer is also talking to your competitors.
Each of these steps is manageable on its own. Together, under volume and time pressure, they create a process that is slow by design. The sales rep who should be selling is instead doing data entry, chasing approvals, and cross-referencing records across multiple systems.
These are structural problems. Adding headcount does not solve them. Our Quote Management Agent does.
How the Agent Facilitates the Quoting Process
The Quote Management Agent handles the full task sequence between receiving an RFQ and creating a validated quote in your system. Here is what that looks like end to end.
Reading the Full Request, not Just the Attachment
The agent ingests incoming RFQs across all common formats, including PDF, email, Excel, and audio input, in any of the 100+ supported languages. It reads both the structured document and the unstructured context around it – the email body, the special requests, and the implicit references to previous orders – and treats them as a coherent input.
Consider a real manufacturing scenario. A customer sends an RFQ by email: a PDF attachment with their details, terms of delivery and payment, and a list of items. The email body adds context – a preference for a specific manufacturer, a request to confirm that other customers have accepted that manufacturer’s quality, a delivery tolerance of plus or minus 5%, and a note that all other conditions should carry over from the last order.
A significant amount of work is underneath that email. Basic document processing tools only read the PDF. The Quote Management Agent reads everything, understands what it means in context, and acts on it.
Mapping Product Requirements to Your Master Data
Product descriptions in RFQs are written for the customer’s context, not yours. The agent cross-references them against your internal database, such as SAP Material Master, resolving customer-specific article numbers, retailer codes, engineering references, and free-text descriptions into the correct internal materials.
In the previous example of manufacturing, this extends to formulation matching: the agent maps grade specifications, concentration levels, and packaging requirements against recipe and formulation data, handling unit-of-measure conversions, such as kilograms to liters, based on material density and concentration data held in your system. The result is not the best guess. It’s a validated mapping with specific attributes surfaced for human review.
Understanding Special Customer Requests
Once data is extracted and mapped, the agent surfaces questions from the customer’s request and answers them using the CPQ historical database.
In our real manufacturing example, the customer wants to know whether a specific manufacturer has previously supplied goods accepted by other clients in a particular region. The agent queries the historical database and returns a specific answer: a quote number, a creation date, a status, and a clear explanation of how the match was identified. The sales rep can verify it in seconds.
The same logic applies to historical pricing, terms of delivery, seasonal demand patterns, and past order volumes. The Quote Management Agent retrieves relevant data and presents it in a specific, actionable context, enabling the sales rep to make a confident decision.
Coordinating Approvals Without the Back-and-Forth
Complex quotes often require multiple approvals before they can be created: pricing authorization, R&D sign-off on custom formulations, sales manager approval for non-standard terms, etc. Coordinating these manually can introduce delays.
The Quote Management Agent handles it all. It drafts outbound emails to manufacturers, internal stakeholders, and customers and presents them to the sales representative for review. When responses arrive, the agent processes them, updates the workflow status, and notifies the sales rep. This flow eliminates manual tracking, follow-up reminders, and status spreadsheets.
The human-in-the-loop option remains firmly in place when needed. The coordination work that surrounds those decisions moves automatically.
Performing the Final Validation and Creating a Quote
Before sending the final response to the customer, there is a final validation step. The sales representative reviews the captured header data, including customer name, terms of delivery, currency, special notes, and the full line-item breakdown with all mapped attributes and product configurations. If a change is required, the rep instructs the agent. If that change affects manufacturer-approved items, the approval loop restarts automatically.
After receiving the final approval from the client, the agent posts a complete quote directly into your internal quoting system with every field populated from the original RFQ, validated against your master data, and enriched with historical context. What used to take hours of manual entry takes minutes of structured review.
Business Impact across Industries
The Quote Management Agent delivers outcomes that every sales organization needs:
- Sales velocity;
- Revenue leakage prevention;
- Quote entry cost scaling linearly with volume;
- Margin protection at scale.
The agent makes quoting within the same business day the default, not the exception, cutting quote preparation time by 75–90%. Pricing rules, discount tiers, and approval thresholds are enforced consistently, protecting margins without slowing the process down.
Here is how the agent addresses the pain points specific to different industries.
Discrete Manufacturing
In MTO and CTO environments, the biggest bottleneck is misconfiguration. When customer part numbers and engineering references must be mapped by hand, errors slip through.
The Quote Management Agent resolves variant configurations automatically against your material master. It consults another agent from our Graip.AI Agents LAB – Spare Parts Quote Agent – that resolves spare part identification issues and locates the needed part promptly. These agents eliminate the situation where your order entry team loses hours per RFQ.
Process Manufacturing
In process manufacturing, such as specialty chemicals, quoting accuracy depends on getting the formulation right before the price goes out. A wrong mapping – a grade name matched to the wrong recipe, a unit-of-measure conversion handled incorrectly – does not just delay the deal. It can trigger costly trial batches and rework that erodes margins long after the quote is accepted.
The Quote Management Agent maps customer descriptions to the correct formulation, handles unit conversions based on material density and concentration data, and flags custom blend requests for R&D approval before the quote is finalized.
Wholesale Distribution
In wholesale, the quoting problem is volume. Thirty to fifty RFQs per day, each in a different format, each requiring product mapping, availability checks across multiple warehouses, and the correct discount tier for that specific customer.
The Quote Management Agent handles all of it automatically – mapping customer article numbers and retailer codes to your SKUs, pulling historical order data, checking availability, and applying the right pricing rules.
Built for Your Environment, not the Other Way Around
The Quote Management Agent connects to SAP CPQ, SAP SD, SAP Material Master, and many other similar systems. It can be configured to access your historical sales data and other information, such as recipe and formulation databases and ATP availability. It resolves variant configurations using your LO-VC and KMAT rules, maps customer-specific article numbers and retailer codes, and applies the correct discount tier per customer.
The agent is configurable through Graip.AI Agents LAB, meaning administrators can adjust tasks, approval requirements, and knowledge base connections without having to program.
Where to Start
For organizations evaluating AI automation in the Quote-to-Cash process, our AI workshop is the right entry point. In a structured engagement, we map your specific RFQ workflows, identify the highest-impact pain points, and create a tailored implementation plan.
The outcome is a quoting process built around your workflows, your data, and your approval logic. One that responds within the decision window and gets the details right the first time. See how the Quote Management Agent handles a real manufacturing RFQ end-to-end in this demo.