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Sales Recommendations

For sales and revenue teams: recommend the next best products using customer signals to increase order value.

Problem

Reps rely on gut feel and manual research to decide what to pitch next, leading to inconsistent recommendations.

Approach

We combined historical order data, product attributes, and customer signals to power an ML recommendation engine surfaced through an AI assistant.

Outcome

Reps get a short list of high-probability recommendations in seconds, improving conversion and average order value.

  • 30% Lower Customer Acquisition Cost
  • 40% Reduction in Sales Research Time

Imagine this for your own repetitive work

If you have a similar workflow—repetitive analysis, document prep, or reporting—we can apply the same pattern. Most projects start with a focused proof of concept.

Talk to us about a similar workflow