Client Background
The client is one of India’s fastest-expanding logistics and last-mile delivery companies, serving leading ecommerce, retail, and D2C brands. Handling millions of shipments every month across 12,000+ pin codes, the organization operates a complex network of hubs, drivers, partner fleets, and regional delivery centers.
As their network grew, the leadership wanted to leverage advanced data analytics to improve route planning, demand forecasting, and operational visibility across all supply chain touchpoints.
Challenges
Despite having large volumes of operational data, the client faced several inefficiencies that affected delivery timelines and cost performance.
Unpredictable Demand Surges
Daily and regional volume fluctuations created load imbalances, resulting in overstaffing in some centers and shipment pile-ups in others.
Inefficient Route Optimization
Routes were manually planned or based on basic distance logic, causing higher fuel expenses and delayed deliveries.
Data Silos Across Hubs
Delivery data, driver performance, shipment statuses, and partner SLAs were stored in different systems, making real-time decision-making extremely difficult.
Limited Performance Visibility
Leadership did not have a unified dashboard to track NDR (non-delivery rate), delay reasons, hub productivity, or partner performance.
High Reverse Logistics Cost
Return shipments lacked predictive modelling, leading to avoidable repeat pickups and higher operational costs.
Solutions
Wisecor Transformations implemented an end-to-end Data Analytics & Forecasting Framework to help the client modernize operations and scale efficiently.
Data Consolidation & ETL Automation
Integrated 15+ data sources including shipment scans, hub logs, driver apps, and partner APIs into a unified data warehouse.
Demand Forecasting Models
Built predictive models to forecast shipment volume by region, time of day, and delivery type using historical and behavioral patterns.
Optimization Insights
Designed a data-driven route optimization framework with recommendations based on traffic conditions, load type, & driver performance.
Performance Analytics Dashboards
Developed real-time dashboards for leadership to track.
Return Prediction & Cost Reduction Insights
Created ML models to identify shipments at high risk of returns, enabling early interventions and better reverse logistics planning.
Results / Impact
With Wisecor’s Data Analytics & Forecasting Consulting, the client achieved:
Technology Stack
(Consulted & Recommended)
Python-based forecasting models
Geospatial data modeling frameworks
Data quality & governance workflows
Client Testimonial
Wisecor Transformations enables logistics, ecommerce, and enterprise brands to scale operations with data analytics, forecasting, automation, and AI-driven decision intelligence.
Data integration to real-time visibility, our analytics services help logistics enterprises achieve clarity, operational efficiency, and measurable performance improvements.