Discovery AI
Case Studies
Our clients are diverse and global, with ambitions to change the world. We help them shine.
Case Study
NPL Prediction and Segmentation
Commercial Credit and Finance PLC, a large NBFI in Sri Lanka, needed to improve their credit risk analysis for their retail and SME credit solutions. Discovery AI Credit Intelligence predicts at 88% accuracy in NPL forecast. By using the prediction outputs to re-strategize their credit collection operations, they saw a 70% improvement in operational efficiency over a short period.
Case Study
Consórcio Intelligence
A Brazilian consortium faced a high number of defaulters in their long tail NPL problem. Discovery AI achieved an 88.32% accuracy in NPL prediction after 7 months of data readiness and AI modeling/training phase. Onboarding and CX-focused training are underway.
Case Study
Demand Forecast
Brazilian supermarket chain, Be Honest, has over 250 mini-markets with limited display capacity and a large portfolio of almost 2,000 products. Discovery AI collected sales and inventory data for 22 months and developed forecasting models to predict demand for the top 100 products in each mini-market. The models achieved 85% to 95% accuracy in retrospectively testing, helping Be Honest ensure the availability of desired products and improve stock operations. Sales to a given mini-market are expected to grow by at least 30% year-on-year.
Case Study
INCREASE SALES AND WINBACK
Capapreta, a Brazilian beer company, was facing a decline in revenue and customers after the COVID-19 pandemic hit the country. To increase sales and win back customers, Discovery AI applied customer profiling, segmentation, and recommendation techniques to both the B2C and B2B segments. By analyzing customer data, they identified the most profitable customer segments and developed targeted marketing strategies to reach them. Capapreta saw significant improvements in their targeted marketing campaigns, resulting in an expected increase in revenue and customer engagement.
Case Study
Future-Ready Organization Structure
Discovery AI used AI to simulate and recommend an optimized UCB's, a top-tier bank in Bangladesh, Future-Fit structure, enhancing efficiency by 20%, improving Role Description, Role Similarity Matrix, Organization Structure, driving significant organizational future readiness and agility.
Case Study
INCREASE CUSTOMER LOYALTY
Maderas y Chapas Blanquer is a Spanish Timber company (B2B). Blanquer is a 14 years old business., They acquired clients with great effort but they are suffering from retention problems. Discovery AI Recommendations helps Blanquer to take better action to retain and winback clients
