Resolve
About us

Built by pricing operators and data scientists.

We work with your teams to elevate your level of pricing maturity – from mapping how prices change today to a continuous improvement activity of analyse – execute – evaluate.

Our mission

Make pricing practical. Resolve translates pricing strategy into consistent, conflict-free prices, keeping logic transparent and execution fast.

We're pragmatic, rigorous, and commercially grounded — focused on systems that align central policy with local flexibility and responsiveness.

How we work

Pricing projects don't stall because the math is hard. They stall because the logic lives in someone's head, the spreadsheet is out of date, and no one is sure which price is the latest.

Resolve gives pricing teams a single system of record for rules, hierarchies, scenarios, and linkages — so the workflow is visible, reviewable, and repeatable.

Engagement model

How does a typical engagement look like?

  1. Pre-project

    Client prep work

    1. Prepare pre-requisite data

      • Sales transactions (2-3 years)
      • Current prices and costs
      • Relevant pricing signals (e.g. inventory, 3rd-party data e.g. competitor prices)

    2. Map current pricing strategy as a Resolve decision tree

      Establish exactly how prices change / pricing decisions get made today. Very useful exercise to expose gaps, assumptions, and improvement areas.

  2. Core Engagement

    Resolve project team: Lead Pricing SME, Data Scientist(s) / Engineer(s)

    Client team (all 1 day / week): Project Manager, Data & Analytics Owner, Pricing Decision Maker(s)

    1. Long-list improvement areas and prioritise 1-2 for assisted pilot

      Focus on select categories / locations to not overwhelm business with too much change at once.

    2. Fill in any analytics gaps

      Configure reusable exploratory visualisations and engineer new pricing signals, e.g.:
      • price elasticity
      • basket analysis

    3. Generate new prices

      Create price responses to signals to target specific business objectives (share, margin, gross profit, etc.)
    Gather evidence

  3. Continued Support

    Resolve: Dedicated Decision Scientist

    Client: Pricing decision makers use Resolve on an on-going basis

    1. Evaluate outcomes

      Identify which decisions were effective, and which should be abandoned. Keep pricing signals with predictive power and drop those without.

    2. Business addresses remaining opportunities using blueprint

      Pricing becomes a continuous improvement activity of analyse – execute – evaluate

Careers

We're hiring.

We're a small, remote team hiring engineers and pricing operators. If you care about clarity, traceability, and getting pricing done right — take a look at our open positions.

See open positions