SAP Data & Analytics

A New York Insurance provider struggled with "black box" renewals, lacking visibility into persistence decay curves across specific policyholder segments.

Without granular data on when and why customers lapsed, leadership could not accurately predict long-term loss ratios, optimize Lifetime Value (LTV), or transition from reactive churn management to predictive lifecycle orchestration.

Distribution leadership evaluated performance solely on top-line sales volume, masking a critical profitability leak.

High-volume agents were frequently onboarding "low-persistency" business that lapsed within a year, causing the firm to lose money on acquisition costs while rewarding agents for business that lacked long-term enterprise value.

Sundew engineered an AWS-based Lakehouse for European catering leaders, unifying SAP S/4HANA, CAR, and custom data. This 360° supply chain analytics platform optimizes pricing, vendor performance, and procurement.

The solution drives margin growth and spend consolidation by identifying price variances and eliminating procurement leakage.

A leading insurer faced severe data fragmentation across 50+ external marketing partners and internal ERP systems.

This "Attribution Gap" made it impossible to link specific marketing spend to actual policy issuance, resulting in inefficient capital allocation and a lack of transparency regarding the true ROI of various distribution channels.

For a leading listed healthcare chain we implemented a Gen AI solution that can read from various medical documents and handwritten prescriptions and ingest the data into the healthcare management system from where the next clinical actions are triggered.

The solution used both structured and unstructured databases to bring in efficiency in the process automation.

Sundew modernized a 15-year legacy O2C ecosystem for a leading Indian healthcare provider. We executed a mission-critical migration ensuring zero data loss.

This transformation ensured total business continuity, enhanced operational visibility, and established a future-ready foundation for accelerated enterprise growth using Azure Stack.

Sundew engineered a demand-driven inventory and procurement system ensuring zero stock-outs while maintaining optimal inventories.

By factoring in lead times between the shop floor and distant warehouses, the solution synchronized the supply chain, optimized storage density, and streamlined fulfillment through predictive demand signaling.

Sundew implemented hyperlocal demand forecasting for a major utility provider using advanced Machine Learning. By precisely predicting consumption, we optimized energy generation and distribution, significantly reducing production costs.

This data-driven approach ensured consistent SLA compliance and enhanced grid reliability through superior operational efficiency.

We engineered a optimum pricing model for Tier 1 and 2 markets to maximize prepaid subscriber retention by analyzing BSS data, including onboarding patterns, usage metrics, and recharge behavior.

We delivered optimized tariff structures that enhanced CLTV and mitigated churn for leading telecom operator.

For a large Travel Retail chain we developed product and promotion recommendation system for each individual customer which resulting in significant uplift in CLTV.

This solution was implemented embedded with their Mobile APP to give real time recommendations and offer details in the relevant shop floors.

We deployed an Intelligent Document Processing solution for an insurance back-office provider by automating complex, unstructured document extraction for US carriers.

By integrating Human-in-the-Loop AI, we improved accuracy and accelerated processing speeds by 9x, significantly reducing manual effort and enabling seamless operational scalability.

Leveraging the Microsoft Stack, we designed and developed a "single source of truth" for a leading consumer durables enterprise.

By unifying raw material tracking, batch processing, and finished goods data, we synchronized the end-to-end supply chain, ensuring optimal inventory visibility and consistent, timely product delivery to market.