Case studies
These case studies show what Data Department built, the decision it supported and the measured result.
Automotive distribution
~10%lower inventory holding cost
Spare parts inventory forecasting for an automotive distributor
Read the case study →Automotive service ~15%higher average gross shop revenueRepair shop technician planning for an automotive service network
Read the case study →Automotive ~8%revenue gainVehicle renewal and brand churn prediction for an automotive distributor
Read the case study →Premium restaurants 5% to 20%lower labour cost at the same service levelRestaurant staffing and shift optimisation for premium restaurant groups
Read the case study →Quick-service restaurants ~10%lower inventory and logistics costRestaurant supply forecasting and delivery-schedule optimisation
Read the case study →Quick-service restaurants ~30%shorter order waiting times on averageShorter order waiting times with very short-term sales forecasting
Read the case study →Quick-service restaurants ~1.1 itemsaverage forecast error per 15-minute slotRestaurant demand forecasting in 15-minute slots
Read the case study →Financial services 32% → 9.5%forecast error (MAPE), before and afterCollections forecasting for a finance company's treasury
Read the case study →Insurance ~6%revenue gainInsurance renewal and customer retention with churn prediction
Read the case study →Fintech and lending Risk scoringand repayment-plan modules for a revenue-based financing marketplaceRevenue-based financing risk models for a fintech lending marketplace
Read the case study →Payments Dealer risk scorefor automatic limit-increase decisionsDealer credit risk scoring for limit-increase decisions
Read the case study →E-commerce ~4%higher profitabilityDynamic pricing for an e-commerce retailer
Read the case study →Beverages and FMCG 99%accuracy flagging underperforming coolersPredicting outlet cooler performance for a beverage bottler
Read the case study →Parcel delivery and logistics ~30%fewer vehicles for the same service level in the analysisFleet sizing and route optimisation for a parcel delivery company
Read the case study →Telecom and networking Early warningtarget gap flagged early, and later confirmedProgramme delivery simulation for a telecom network migration
Read the case study →Technology group 30+people in the ML and AI departmentBuilding an in-house ML and AI department for a technology group
Read the case study →Gaming 0.82AUC (area under the curve) for day-1 churnDay-1 churn prediction for a mobile game studio
Read the case study →Companies we have worked with
Not sure where AI would pay off? Ask us.
Book a free 30-minute AI opportunity review. A senior consultant looks at the decision you want to improve and tells you honestly whether AI fits, what data it needs and what a first step would look like. We reply within two working days.













