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

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Automotive service ~15%higher average gross shop revenue

Repair shop technician planning for an automotive service network

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Automotive ~8%revenue gain

Vehicle renewal and brand churn prediction for an automotive distributor

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Premium restaurants 5% to 20%lower labour cost at the same service level

Restaurant staffing and shift optimisation for premium restaurant groups

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Quick-service restaurants ~10%lower inventory and logistics cost

Restaurant supply forecasting and delivery-schedule optimisation

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Quick-service restaurants ~30%shorter order waiting times on average

Shorter order waiting times with very short-term sales forecasting

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Quick-service restaurants ~1.1 itemsaverage forecast error per 15-minute slot

Restaurant demand forecasting in 15-minute slots

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Financial services 32% → 9.5%forecast error (MAPE), before and after

Collections forecasting for a finance company's treasury

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Insurance ~6%revenue gain

Insurance renewal and customer retention with churn prediction

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Fintech and lending Risk scoringand repayment-plan modules for a revenue-based financing marketplace

Revenue-based financing risk models for a fintech lending marketplace

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Payments Dealer risk scorefor automatic limit-increase decisions

Dealer credit risk scoring for limit-increase decisions

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E-commerce ~4%higher profitability

Dynamic pricing for an e-commerce retailer

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Beverages and FMCG 99%accuracy flagging underperforming coolers

Predicting outlet cooler performance for a beverage bottler

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Parcel delivery and logistics ~30%fewer vehicles for the same service level in the analysis

Fleet sizing and route optimisation for a parcel delivery company

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Telecom and networking Early warningtarget gap flagged early, and later confirmed

Programme delivery simulation for a telecom network migration

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Technology group 30+people in the ML and AI department

Building an in-house ML and AI department for a technology group

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Gaming 0.82AUC (area under the curve) for day-1 churn

Day-1 churn prediction for a mobile game studio

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Companies we have worked with

  • Doğuş Teknoloji
  • Doğuş Otomotiv
  • Volkswagen Doğuş Finans
  • d.ream
  • Coca-Cola İçecek
  • McDonald's Türkiye
  • Burger King Türkiye
  • MNG Kargo
  • ebebek
  • Paynet
  • Mavis Games
  • WhyData
  • Cisco
  • Assetize

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