AI-Powered Pricing Intelligence for Sales Teams
Build a BoQ per lead, extract competitor prices with AI and get suggested pricing based on your own historical outcomes.
What is pricing intelligence software?
Pricing intelligence software helps sales teams decide what to quote based on data rather than guesswork. Lavisho TT's pricing intelligence includes a BoQ (bill of quantities) builder per lead, AI extraction from uploaded competitor price files, specification matching, median-based suggested pricing from your own historical deals, and tracking of win/loss pricing outcomes over time.
Why teams need pricing intelligence
The problem
Quoting is often left to individual reps' judgement, with no visibility into what similar deals were priced at before, or how a competitor's file compares line by line. Teams either overprice and lose deals, or underprice and give away margin, and there is rarely a structured way to learn from past pricing outcomes.
How Lavisho TT solves it
Lavisho TT lets reps build a structured BoQ for each lead and upload competitor price files, which the system extracts with AI and matches against specifications automatically. Median-based suggested pricing draws on your own historical deal data to recommend a starting point, and every deal's pricing outcome — won or lost — is tracked so the suggestions get more grounded in real results over time.
Key benefits
Structured, comparable quotes
BoQ builder per lead keeps quotes structured and comparable across deals.
Competitor pricing without manual entry
AI extraction reads competitor price files so specs don't need to be typed in by hand.
Pricing based on your own history
Median-based suggested pricing draws on historical deals rather than gut feel.
A feedback loop on pricing decisions
Win/loss pricing outcomes are tracked so future suggestions improve over time.
Pricing Intelligence features in Lavisho TT
BoQ builder per lead
Build a structured bill of quantities tied to each individual lead or deal.
Competitor price file upload
Upload competitor price files for comparison against your own pricing.
AI extraction
AI extracts line items and prices from uploaded competitor files automatically.
Specification matching
Match specifications between your BoQ and competitor files to compare like-for-like.
Median-based suggested pricing
Get pricing suggestions based on the median of your own historical deals.
Pricing history
Review historical pricing across deals, products and customers.
Win/loss pricing outcomes
Track whether pricing decisions correlated with deals won or lost.
Discount approval chains
Route discounts above defined thresholds through the appropriate approval chain.
How it works
- 1
Build a BoQ for the lead
Structure the bill of quantities for the specific deal being priced.
- 2
Upload competitor pricing
AI extracts and matches specifications from uploaded competitor price files.
- 3
Get a suggested price
Median-based suggested pricing from historical deals recommends a starting point.
- 4
Track the outcome
Win/loss pricing outcomes feed back into pricing history for future deals.
Common use cases
- Distributors and manufacturers responding to competitive tender-style deals
- Sales teams that need to justify pricing decisions with historical data
- Organisations wanting to reduce reliance on individual reps' pricing judgement
- Finance and sales leadership tracking margin impact of discounting patterns
Why choose Lavisho TT for pricing intelligence
- AI extraction from competitor files removes hours of manual re-entry.
- Suggested pricing is based on your own historical median, not an external benchmark.
- Win/loss pricing outcomes create a genuine feedback loop most CRMs don't track.
- Pricing intelligence connects directly to discount approval chains and quotations.
Pricing Intelligence — frequently asked questions
What is a BoQ builder?
A bill of quantities (BoQ) builder lets you structure the items, quantities and prices for a specific lead or deal in a consistent format.
How does AI extraction work with competitor files?
You upload a competitor price file and AI extracts line items and prices, which are then matched against your own specifications for comparison.
What is median-based suggested pricing?
It recommends a price based on the median of your own historical deals for similar products or specifications.
Does the system track whether pricing decisions worked?
Yes, win/loss pricing outcomes are tracked so you can see whether certain pricing levels correlated with won or lost deals.
How are discounts controlled?
Discount approval chains route requests based on thresholds, for example under 10% needs no approval, 10–25% needs a Sales Manager, and above 25% needs a CRO.
Can I see pricing history across customers?
Yes, pricing history lets you review past pricing across deals, products and customers.
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Glossary
- BoQ (Bill of Quantities)
A Bill of Quantities (BoQ) is an itemized list of materials, parts, or services with quantities and prices, used to build accurate quotations for a deal.
- Win Rate
Win rate is the percentage of sales opportunities that end up closed-won out of all opportunities that reached a final decision.
- Deal
A deal is a specific sales transaction being pursued with a customer, tracked with a value, stage, and expected close date.
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