Boldr AI
Consumer goods distribution

RTM tracking engine case study

A route-to-market tracking engine.

A distributor whose reps planned their own day and missed orders went unnoticed.

−30%
missed retailer orders
2.5x
rep productivity
A route-to-market tracking engine.BeforeAfterMissed ordersRep productivity

1The situation

What the operation faced

A distributor whose reps planned their own day and missed orders went unnoticed.

2What we did

How Boldr AI fixed the process first

  1. 1

    Routes by value

    generated the night before

  2. 2

    Live tracking

    visits and orders during the day

  3. 3

    Missed outlets

    back to an inside queue the same day

  4. 4

    Control group

    to prove the lift

3Built with

Capability, solutions and products used

4Results

Measured results

−30%missed retailer orders
2.5xrep productivity

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.