SalesIntel AI
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What it finds

Six things it finds in your data, every run.

Each finding is calculated from the records in your workspace. If the data cannot support a finding, the briefing says which data is missing rather than filling the gap.

01

Trends and patterns

Where revenue is heading, which months, products or accounts drove the change, and what repeat buying looks like.

02

High-value opportunities

Customers buying one thing who could buy more, products selling in one region and not another, segments with the strongest return.

03

Underperformance

Products, customers, regions and reps falling behind: how far, since when, and whether it is a dip or a direction.

04

Declining customers

Smaller orders or longer gaps between them, customers who stopped buying, who to call first and why.

05

Revenue at risk

Too much revenue with too few customers, repeat business slowing down, regions or products carrying more weight than they should.

06

Room to grow

The best-performing motions, named. Where the same approach could be repeated, and what to scale first.

How each one works
Trends and patterns
Compares closed-won revenue in the reporting period with the period before, then ranks the regions, products and accounts that drove the change. Needs closed-won deals with close dates.
High-value opportunities
Looks for customers who have only ever bought one product, products winning in one region and absent in another, and open deals with the highest weighted value.
Underperformance
Flags regions, products and reps whose revenue is below the previous period, and marks whether it has fallen two periods running (a direction) or just one (a dip).
Declining customers
Finds repeat customers whose gaps between orders are lengthening, whose latest order is smaller than their norm, or who have stopped buying with nothing open.
Revenue at risk
Measures customer and regional concentration, stalled and overdue open deals, and negative call sentiment on deals still open.
Room to grow
Names the sales motions and segments with the strongest win rates and shows where they are under-used. Needs enough closed deals to compare.

Bring the data. Get the findings.