Case Studies
Explore the Latest Perspectives
Our experts, with experience across industries, craft tailored solutions using AI, machine learning and predictive modeling delivering significant result for enterprises.
~10% Lower Attrition
A high-growth D2C brand was struggling with rising customer churn, which threatened its scale ambitions.
Algodel deployed predictive churn models that flagged at-risk customers early and triggered proactive retention actions. As a result, the brand sustained a ~10% reduction in attrition, improving retention economics and long-term growth.
8% Higher Conversions from Recommendations
A leading Indian e-commerce marketplace lacked the orchestration and intelligence needed to drive effective cross-sell and upsell.
Algodel implemented a recommendation engine that personalized offers and bundles at the cohort level. This led to an 8% increase in conversion rates among recommendation-activated users, unlocking meaningful incremental revenue.
15% Reduction in Stockouts
A national brick-and-mortar retail chain was facing chronic out-of-stock (OOS) issues in high-priority categories, leading to lost sales and poor customer experience.
Algodel’s predictive replenishment engine identified blind spots, modeled demand patterns, and optimized restocking cycles. The result: ~15% fewer stockouts across key SKUs, driving both sales uplift and customer trust.
97% SKU-Level Forecast Accuracy
An APAC fashion e-commerce retailer was unable to capture fast-moving consumer shifts and marketing effects in real time, resulting in inaccurate demand planning during peak sales.
With Algodel’s AI-driven forecasting models, the retailer achieved ~97% day-to-day forecast accuracy at the SKU level, even during high-volume sale periods. This enabled leaner inventory management and higher customer satisfaction.
14% CLTV Uplift
A fast-growing e-commerce marketplace struggled to capture the nuances of customer cohorts, churn probability, and changing purchase behavior, limiting their ability to extend lifetime value.
Algodel applied advanced cohort intelligence models to map customer journeys, predict churn, and personalize retention levers. Within 12 months, the platform delivered a ~14% uplift in CLTV across the user base.
