01
instead of static price listsAlgorithmic pricing
Stress-test prices across segments — within your margin floors and brand rules.
Commercial Optimization
Price, demand, and inventory — in one decision loop.
Price, stock, bundle, and promote with foresight — levers analysed together, not apart.
Which SKUs can take a +3% price without meaningful volume loss?
40 low-elasticity SKUs add ~1.2 pts margin at under 1% volume loss — within your margin floors.
1 Price history × demand · brand exceptions encoded
Projects we deliver
Engagements in this function — not a catalogue
02
instead of spreadsheet forecastsDemand forecasting
One cited outlook with promo and seasonality split out.
03
instead of opaque marketplace rulesMarketplace optimization
Find where fees and ranking erase margin — analysis you can audit.
04
instead of reactive stockoutsInventory optimization
Balance service level and working capital before risk SKUs become crises.
05
instead of one-off bundle guessesBundle pricing
Design and price bundles with scenario analysis, not gut feel.
Common questions
Answers to what people actually ask
What is algorithmic pricing and how is it different from static price lists?
Algorithmic pricing stress-tests prices across customer segments within your margin floors and brand rules, replacing static price lists with pricing that adapts to demand and elasticity while staying inside limits you set.
How does AI-driven demand forecasting work for retail and CPG?
AI-driven demand forecasting produces one cited outlook that separates promotional and seasonal effects, replacing manual spreadsheet forecasts with a single source finance and commercial teams can both trust.
Which products can take a price increase without losing volume?
By modeling price elasticity per SKU, an AI pricing agent identifies low-elasticity products that can absorb a price increase with minimal volume loss, while respecting margin floors and brand pricing rules.
Commercial Optimization
Tell us the decision. We’ll map the project.
A short call on the question that matters — and the right first step.