During upsell and cross-sell cycles, customer responses often arrive through different channels—email, chat, shared documents or call notes. Teams must manually interpret these messages to determine whether the customer accepted the offer, rejected it, or wants changes. This slows down execution, creates confusion, and increases the chance of missing key signals. The Product Matching Insight Agent solves this by automatically capturing and interpreting customer responses from any channel. It analyzes emails, chat messages, and feedback notes to understand customer intent (e.g., accept, decline, needs changes). The agent then records this outcome in the CRM and automatically triggers the right follow-up action—such as closing the recommendation, opening a revision cycle, or notifying the account team. When a customer declines or requests revisions, the agent summarizes the reason, helping teams understand what is driving lost upsell or cross-sell opportunities.With automated interpretation and action routing, organizations reduce manual effort, avoid delays, and ensure every customer signal leads to the right next step. This improves productivity and increases the chances of converting upsell opportunities into revenue.
Accuracy
TBD
Speed
TBD
Sample of data set required for Product Matching Insight Agent:
From: david.lee@apexsolutions.com To: sarah.chen@innovatecorp.com Date: October 26, 2023, 10:15 AM Subject: Re: Proposal for Quantum Dynamics Suite Expansion (Offer UP-4591)
Hi Sarah,
Thanks for sending over the proposal for the Quantum Dynamics Suite expansion. Our team has reviewed the details.
We are very interested in moving forward with the Advanced Analytics Dashboard. The predictive modeling features look powerful and would be a great addition to our current project management workflow.
However, we will have to pass on the Enterprise Collaboration Tools module for now. Our organization is already standardized on ConnectSphere for internal and external collaboration, and we have long-term contracts in place. It wouldn't be practical to introduce another tool at this time.
Could you please send over a revised quote that includes only the Advanced Analytics Dashboard? Once we have that, I can get the internal approval process started.
Best regards,
David Lee Project Manager Apex Solutions
Sample output delivered by the Product Matching Insight Agent:
Customer Response Analysis Report
Analysis Date: 2023-10-26 10:16:01 AM Customer: Apex Solutions Offer ID: UP-4591 Source Document: Customer_Response_Email_Apex_Solutions_UP-4591
1. Intent Classification
| Category | Classification | Confidence Score |
|---|---|---|
| Overall Intent | Modification Request | 98.9% |
| Sentiment | Positive | 91.2% |
| Proposed Product/Module | Customer Action | Stated Reason & Key Feedback |
|---|---|---|
| Advanced Analytics Dashboard | Accepted | Customer cited "powerful predictive modeling features" as a key benefit. Expressed clear intent to purchase this module. |
| Enterprise Collaboration Tools | Rejected | Customer has an existing, standardized competitor solution ("ConnectSphere") with long-term contracts in place. |
WF-Sales-QuoteModification-RevA has been initiated.OPP-88271 status to "Revising Proposal".Rejected - Competitor for this specific opportunity to inform future strategy.WF-Sales-QuoteModification-RevA.Unifies, segments, and prioritizes customers using integrated data to drive targeted upselling and cross-selling.
Automatically generates, validates, and finalizes contracts while ensuring policy compliance and seamless cross-system alignment.
Automatically generates a tamper-proof record of all proposal approvals, modifications, and stakeholder feedback for compliance and accountability.
Captures customer responses, identifies intent, and triggers the right next action to accelerate upsell and cross-sell decisions.
Identifies missing customer data, drives targeted outreach to collect required information, validates submissions and updates master records to enable precise upsell and cross-sell recommendations.
Continuously monitors and validates customer data for completeness, accuracy, and recency, triggering targeted remediation to maintain high-quality customer profiles.