Delhivery is India's leading logistics and supply chain service provider, offering end-to-end solutions across e-commerce, retail, and enterprise sectors. With a vast network covering millions of deliveries daily, Delhivery ensures efficient parcel transportation, warehouse management, and freight solutions. The company continuously invests in technology-driven innovations to enhance efficiency, improve customer experience, and optimize its operations. However, as the business scaled, managing logistics data, ensuring real-time operational visibility, and streamlining cash-on-delivery (COD) reconciliations became increasingly challenging.
Reduction in manual data retrieval time
Reduction in COD reconciliation efforts
Delhivery operates a massive logistics network, handling vast amounts of data related to shipments, warehouse operations, and financial transactions. Despite having multiple data systems in place, accessing meaningful insights was a slow and complex process.
Sales and operations teams frequently required real-time data on shipment performance, delivery timelines, and payment reconciliations, but retrieving this data involved writing complex SQL queries and manually compiling reports. This led to inefficiencies and delays in decision-making.
Another major challenge was cash-on-delivery (COD) reconciliation. With thousands of COD transactions happening daily, discrepancies often occurred, leading to delayed settlements and financial losses. The finance team had to manually identify mismatches, which was time-consuming and prone to errors.
Delhivery also struggled with inconsistent data across multiple systems. Different teams relied on various analytics platforms, leading to discrepancies and a lack of a single source of truth. The company needed a scalable, AI-powered solution that could integrate with its existing data infrastructure and provide real-time insights without requiring extensive technical expertise.
"Reconciling COD payments was a nightmare. The process was slow, error-prone, and required extensive manual effort. We needed a system that could automate this while ensuring data accuracy"
Praver Gupta
Director, Delhivery
To address these challenges, Delhivery implemented Colrows, a conversational AI-powered data analytics platform that seamlessly integrates with existing data systems, automates SQL queries, and enables real-time data visualization.
With Colrows’ automated SQL query generation, teams could retrieve insights instantly without needing technical expertise. What previously took hours—such as extracting shipment performance metrics or financial reports—could now be done in seconds. This empowered employees at all levels to make faster, data-driven decisions.
"With Colrows, our teams are no longer dependent on SQL experts for insights. They can generate reports in seconds, significantly improving efficiency and decision-making."
Swapnil Jadhav
VP of Engineering, Delhivery
Another key transformation was real-time data visualization. With Colrows’ interactive dashboards, Delhivery gained clear visibility into warehouse efficiency, shipment success rates, and financial transactions. These dashboards eliminated inconsistencies across different systems, providing a unified view of business performance.
The implementation of automated anomaly detection for COD reconciliation further streamlined financial operations. Colrows identified transaction mismatches in real-time, flagging suspicious payments and reducing fraud risks. This cut COD reconciliation time by over 60%, ensuring smoother cash flow management.
"Before Colrows, our teams spent hours manually extracting and organizing data. Simple insights required expertise in SQL, making it difficult for non-technical users to access the information they needed in real time."
ROBIN K
Senior Manager, Delhivery
Additionally, Colrows’ secure and scalable infrastructure ensured that as Delhivery continued to expand, its data analytics capabilities remained robust and efficient. The platform’s integration with Delhivery’s existing data systems enabled smooth data handling without performance bottlenecks.
Since implementing Colrows, Delhivery has experienced significant improvements in operational efficiency, data accessibility, and financial management
With Colrows as the go-to data platform, Delhivery has not only optimized its internal operations but has also enhanced service quality for customers by ensuring faster, more reliable deliveries and seamless payment processing. The partnership has positioned Delhivery for sustained growth, reinforcing its leadership in India's logistics sector.
Join Delhivery and countless other organizations that have revolutionized their approach to data analytics with Colrows.