Pricing at the core, with the analytics around it
Three practice areas, delivered by people who have done this work inside global businesses. Take one on its own or combine them. A pricing engine is only as good as the forecast and the data underneath it.
Pricing & revenue management
This is where most of the money is. We look at how prices are set today, where margin leaks, and what it would take to price faster and more precisely.
Pricing diagnostic
Rate setting, margins, discounting, channel mix and competitor position. Every leak is sized, ranked and paired with the change that fixes it.
Dynamic pricing & yield management
Rules-driven or model-driven pricing engines: elasticity, data feeds, guardrails, override rules, and the monitoring that tells you it's working.
Fees, spreads & price tiers
FX spreads and fees, price tiers and packaging, set so that volume and partner business doesn't quietly give margin away.
Pricing operations & automation
RPA and scripted workflows that take manual work out of rate setting, cut errors and free analysts for analysis.
Business cases & deal support
NPV and IRR business cases for pricing and commercial changes, partner and wholesale deal pricing, and valuation support for acquisitions and investment decisions.
Typical outcomes More margin on existing volume · faster rate changes · fewer manual overrides
Supply chain, forecasting & working capital
Led by a PhD-qualified quantitative specialist who ran the global FX supply chain, inventory and analytics for a multinational currency business, after starting out in market trading.
FX supply chain analysis & optimisation
How currency moves through your network, from wholesale suppliers and central vaults to branches, ATMs and partners. We find where it sits idle, costs too much to move, or runs out.
Working capital optimisation
Cash and stock tied up across the network, sized against the service level you need. We show how much can be released without more stock-outs, and set the rules that keep it released.
Demand forecasting
Statistical and machine-learning forecasts by product, currency, location and channel, with honest error ranges and a process your team can run.
Forecasting process
Planning and forecasting processes that are accurate, quick to run and trusted by the board.
Inventory & replenishment
Stock levels, order sizing and timing, and logistics cost, tuned together rather than one at a time.
Quantitative & market modelling
Price elasticity, simulation, scenario and optimisation models, plus rate and exposure analytics for businesses whose margin moves with the markets.
Typical outcomes Working capital released · lower logistics cost · fewer stock-outs
Revenue analytics, BI & AI
Led by an analytics executive who has built and run teams of up to 16 across data engineering, analytics engineering and BI, in banking, travel, technology and education.
Revenue MI & performance reporting
KPI frameworks and dashboards the executive team actually uses, with self-serve reporting in Tableau, Power BI or Looker.
Data platform & cost
Modern data stack design and clean-up (Snowflake, Redshift, dbt, Fivetran). Fewer dashboards that people trust more, at lower platform cost.
Predictive analytics
Churn and retention models, customer health scores, segmentation and benchmarking that commercial teams can act on.
Practical AI & automation
AI and automation that remove manual data gathering and reporting, applied where the payback is clear rather than everywhere at once.
Value tracking
An agreed baseline, then measurement of what each change earned in EBITDA. It's also what makes results-based fees possible.
Typical outcomes One version of the numbers · lower data costs · a clear line from each change to EBITDA
Three ways to work with us
Every practice area is available in any of these forms. Most clients start with a diagnostic and decide what comes next once the numbers are on the table.
Diagnostic
A focused look at pricing, forecasting or reporting. You get a ranked list of changes with expected impact, effort and risk against each, plus a first set you can put live immediately.
Design & build
The pricing engine, forecast model, dashboards or data pipeline, built on your systems, documented, and handed to a team that knows how to run it.
Fractional leadership
A fractional Head of Pricing, Head of Analytics or Head of Data Science for a few days a month. They set strategy and governance, coach your analysts and hire with you.
Diagnostics are fixed fee. Projects are priced by milestone, and fractional roles by days per month. Where the baseline is clear, part of the fee can be tied to the measured result.
Not sure which of these you need?
Most people aren't at the start. Tell us what's bothering you and we'll say where we'd look first. The intro call is free.