Eleven problems we solved for clients
Retail, telecom and banking clients, from pricing 90,000 SKUs to forecasting losses on a $15 billion mortgage portfolio. Client names are withheld under our confidentiality agreements.
Finding the drivers of churn for a US telecom provider
Churn segments and models that showed a telecom client why customers were leaving, and where to act first.
Read the case study →Fixing leaky website journeys for a telecom eCommerce team
Clickstream path analysis that found where visitors dropped off, raising conversion and satisfaction.
Read the case study →SKU-level forecasts a retailer could share with its vendors
Time-series forecasts for 2,000+ SKUs that cut both stock-outs and overstock.
Read the case study →Sorting actionable complaints from noise for a US wireless carrier
Sentiment classification across social platforms so the care team could reach unhappy customers faster.
Read the case study →Hiring store staff at the right time for peak season
Department-level demand models that told a retailer when, and whom, to hire for peak season.
Read the case study →A fair way to measure store associate performance
Normalised performance metrics across stores that made bonuses fairer and lifted sales.
Read the case study →An automated pricing tool for 90,000 SKUs across 2,000 stores
Elasticity models and a pricing framework that replaced gut-feel pricing, tested in market before rollout.
Read the case study →Pricing for the whole category, not one product at a time
Cross-price elasticity models that showed how a price change on one product moves its substitutes and add-ons.
Read the case study →An automated inventory planning tool for 100,000 SKUs
Weekly SKU-market ordering driven by forecasts, safety stock and vendor lead times.
Read the case study →Lifetime loss forecasting on a $15 billion mortgage portfolio
A competing-hazards model that tracked default and prepayment risk across a $15 billion portfolio.
Read the case study →One source of truth for credit and finance performance
A centralised analytics platform on Google Cloud that standardised KPIs, automated reporting and emailed executive-ready insights every week.
Read the case study →Have a decision you want to get right?
Tell us the decision, the data you have and the timeline. We will come back with how we would approach it.