Boldr AI
Beverages & consumer goods

Beverage sales engine case study

From customer service to a sales engine.

A beverage company whose customer service only took orders and complaints.

3x
contactability
1.5x
average ticket
+12%
sales
From customer service to a sales engine.BeforeAfterContactabilityAverage ticketSales

1The situation

What the operation faced

A beverage company whose customer service only took orders and complaints.

2What we did

How Boldr AI fixed the process first

  1. 1

    Segmented outlets

    by potential, not by revenue

  2. 2

    Built inside sales queues

    replenishment, reactivation, cross-sell

  3. 3

    Set price corridors

    by family and channel

  4. 4

    Weekly control tower

    with the commercial director

4Results

Measured results

3xcontactability
1.5xaverage ticket
+12%sales

Measured against the baseline taken at the start. Client name withheld; references on request.

Next step

Could this work in your operation?

Define the scope in minutes. We turn your answers into a focused Value Discovery Sprint.

Scope your sprint
in three questions.

Pick the capability. Your answers tell us where a Value Discovery Sprint would look first; a value consultant comes back with a proposed scope.

1What capability do you want to focus on?
2Do you know how many accounts exist in your market that you don't serve?
3What happens to an outlet a rep didn't visit today?
4How many transactions sell below your price floor?

Your readout

Your answers shape the scope.

A sprint would likely look first at:

  • White space by zone
  • Missed-order recovery
  • Price leakage and corridor

A value consultant replies within one business day.