AI Pricing Tool for Sales
Let your AI agent handle pricing analysis, scenario modeling, and client-ready justifications—so you can focus on closing deals, not crunching numbers.
You’re a sales advisor stuck building pricing models in Excel, digging through Salesforce for historical deals, and emailing managers for approvals. Every week, you waste hours on manual market research and justifying prices to clients, risking errors and slow responses that cost you deals.
An AI agent that analyzes market data, models pricing scenarios, and delivers tailored price recommendations for sales professionals.
What this replaces
The hidden cost
What this is really costing you
In B2B sales, advisors and account managers spend hours each week pulling historical pricing from Salesforce, updating spreadsheets, and preparing justifications for every proposal. The manual process is tedious and error-prone, especially when clients expect fast, data-backed answers. Relying on outdated Excel files and email chains slows down negotiations and puts revenue at risk.
Time wasted
2 hrs/week
Every week, burned on work an AI agent handles in minutes.
Money lost
$7,000/year
In salary, missed revenue, and operational drag — annually.
If you keep ignoring it
If you keep relying on manual pricing, you’ll lose deals to competitors who respond faster, risk sending inaccurate quotes, and erode client trust when justifications don’t hold up.
Cost estimates derived from U.S. Bureau of Labor Statistics occupational wage data and O*NET task analysis.
Return on investment
The math speaks for itself
Today — without agent
2 hrs/week
of manual work
With your AI agent
20 min/week
agent-handled
You save
$5,833/year
every year, reinvested into growing your business
Estimates based on U.S. Bureau of Labor Statistics median salary data and O*NET task importance ratings from worker surveys. Time savings assume 80% automation of eligible task components.
Jobs your agent handles
What this agent does for you
Complete jobs, handled end-to-end — so your team focuses on what matters.
Quick Price Recommendation
You ask your agent to analyze current market data and recommend the best buying price for a new client order.
Sell-Side Optimization
You ask your agent to suggest an optimal selling price for a client’s portfolio based on recent trends and their risk tolerance.
Scenario Comparison
You ask your agent to model three different pricing scenarios and summarize the pros and cons of each.
Justification Summary
You ask your agent to generate a clear, data-backed rationale for your recommended price to share with your client or manager.
How to hire your agent
Connect your tools
Link your market analysis platforms, trading systems, and client management databases.
Tell your agent what you need
Type: 'Analyze current market data and recommend the optimal buying price for Client X’s order.'
Agent gets it done
You receive a data-driven price recommendation with supporting analysis and a summary you can share with your client.
You doing it vs. your agent doing it
Agent skill set
What this agent knows how to do
Market Data Analysis
Pulls historical and current pricing from Salesforce and Google Sheets, then generates tailored insights for each client proposal.
Scenario Modeling
Compares multiple pricing scenarios using recent deal data and highlights the financial impact of each option.
Client-Specific Adjustments
Adapts recommendations based on client profiles from your CRM, factoring in goals, constraints, and risk tolerance.
Justification Generation
Drafts clear, data-backed pricing rationales ready to share with clients or managers, referencing real market trends.
Negotiation Preparation
Summarizes likely objections and prepares talking points using insights from past negotiations stored in Salesforce.
AI Agent FAQ
Yes, your AI agent connects directly to Salesforce and Google Sheets via secure API, so you can pull up-to-date pricing and deal data automatically. For other CRMs, you can upload CSV exports for analysis.
All data is encrypted in transit using TLS 1.3. The agent processes your information within your environment and does not store any data after completing your request.
Absolutely. You can specify goals, constraints, and risk profiles for each client. The agent tailors its analysis and output based on your CRM data and instructions.
Yes, your agent can generate recommendations for both buying and selling scenarios. Just specify which side you’re working on in your request.
Currently, the agent handles English-language data and integrates with Salesforce and Google Sheets. Multi-language support and additional CRM integrations are on the roadmap.
Related tasks
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