Affine - Case Studies

Demand Forecasting Accuracy with AI & ML

Fraudulent customers providing incorrect data at the time of applying for credit produces high percent of NPA

Different analytical solutions provided to cut costs and increase sales volume of stores

Fraudulent customers providing incorrect data at the time of applying for credit produces high percent of NPA

Overcoming of inventory related issues which causes unreliability in the inventory & service levels

Different promotion types needed to be evaluated to avoid low returns on investment (ROI)

In this case study, we will learn adoption of new assortment strategy at store level and its implications.

Adoption of new assortment strategy at store level and its implications.

Affine’ s holistic framework helped to reduce the churn rate and maximize customer acquisition

Designing campaigns for customers across lifecycle that focus on improving product adoption, customer retention and product / subscription upsell

Media mix model helped allocate budgets to marketing channels and achieve targets

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