USE CASES APPROACH

We don’t believe in the one size fits all approach in pricing. Our solution will provide you with a library of algorithms that optimise for different use cases. You can choose from:  multi-product pricing, psychological pricing, cross selling, etc…

Dual Display Use case

Client has more than 1 price/product, client wants to optimize all price scenarios of every product distributed with multiple prices (2) Understand all the related effects of the price combination changes.

Challenges:

  1. Optimize all price scenarios of every product distributed with multiple prices
  2. Understand all the related/side effects of the price combination changes

Methodology:

We maximize the learning through an iterative approach:

  • We expand the price variance combination significantly – only 1 price change upward & 1 downward actually drives us to different price combinations.
  • We measure the overall top & bottom line effect for each portfolio built as well as the impact on the share of orders attached to our price#1 (e.g. member price).

Side effect assessment:

  • We highlight the indirect impact of the dual price variation scenario – portfolio mix, basket value distribution per audience, and price competitiveness.

Achievements:

Other Use Cases