Each case is a real deployment with documented metrics.
Problem: A retail chain with 250+ stores in Brazil required predictive accuracy in inventory, customer segmentation and campaign optimization to scale without adding operating costs.
Solution: Implementation of Customer AI, Demand AI and Campaign AI on the TheDiscoveryAI platform. Models trained with sales history and per-store behavior.
Problem: Commercial Credit and Finance PLC needed to reduce non-performing loans (NPL) and dramatically improve collections recovery rates.
Solution: Deployment of NPL Prediction AI, Alternative Credit Scoring and Customer Service Analytics. Models calibrated with local Sri Lankan financial market data.
Problem: UCB Bank PLC, one of Bangladesh's leading banks, required comprehensive operational process optimization and overall efficiency gains across branches and back-office.
Solution: Process Mining AI + Anomaly Detection + Workforce Analytics. Automatic process mapping over core banking system logs and AI-assisted redesign.
Problem: GSB Group needed to evaluate the impact of training programs and predict post-training productivity with quantitative models.
Solution: Workforce Analytics + Insight Generator + Custom Performance Models. Platform deployed across Bolivia and Mexico operations with cross KPIs.
Problem: Spanish wood company needed to improve B2B customer retention and lift cross-sell across a long-term relationship portfolio.
Solution: Customer AI + Churn Prevention + Recommender Systems over historical order data. Automatic alerts to sales reps on at-risk accounts.
Problem: Portuguese craft brewery with limited visibility into real demand by channel and trouble optimizing pricing between premium and core lines.
Solution: Demand AI + Dynamic Pricing AI + Market Intelligence. Calibration by channel (HoReCa, retail, e-commerce) and by SKU.
Problem: British consulting firm needed to scale qualified lead generation without growing the sales team proportionally.
Solution: Customer AI + Market Intelligence + Lead Scoring AI. Focus on intent signals and automatic enrichment of target accounts.
Problem: Telco operator with 23 million subscribers needed to detect high-value users at churn risk and maximize ARPU via dynamic offers.
Solution: Churn AI + Dynamic Pricing + Network Anomaly AI + Customer Service Analytics. ML pipeline processing millions of events per hour.
Problem: Premium steakhouse chain with 6 US locations sought to increase revenue per cover and optimize peak-hour staffing.
Solution: Demand AI + Dynamic Pricing AI + HR Analytics + Recommender Systems for automatic upsell in menu engineering.
Problem: Brazilian consortium with national portfolio needed quantitative models to predict Cancellation Without Payment (CWP) and NPL.
Solution: NPL Prediction + Customer Lifetime Value + Anomaly AI. Early detection of delinquency patterns 90 days in advance.
Problem: Fashion retail chain in Bangladesh struggling to anticipate trends by segment and automatically optimize visual merchandising.
Solution: Customer AI + Demand AI + Recommender Systems + Insight Generator focused on segmentation by style and purchase moment.
Problem: Bangladesh Academy for Rural Development needed to evaluate the impact of rural development programs with quantitative models at district scale.
Solution: Insight Generator + Strategic Business Analytics + Geo-Spatial Intelligence over socioeconomic data of the whole rural region.
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