LogiNext Reverse
For Reverse Logistics

LogiNext Reverse™ caters to the reverse leg of logistics, especially in e-commerce logistics, where shipments are picked from customer locations and transported to the hub for aggregation. LogiNext’s reverse logistics software solution not only provides automated optimization for capacity and route planning in first mile, but also covers all scenarios for return-to-merchant (RTM) and return-to-origin (RTO) cases. Clustering of reverse pick-ups with last mile deliveries helps in a high degree of resource optimization.
hub location
Delivery medium
current location
Return orders
Upload Order details
Battery alerts
Add new order
Track order
  • DELIVERY ALLOCATION

    Allocate requests from CRM to Field-executives in real-time and reduce pick-up time commitment
  • ON FIELD MANAGEMENT

    On field trip, case and invoice creation from delivery boy mobile application; Mobile POS using Bluetooth based barcode reader and thermal printer
  • RTO & RTM DELIVERY MANAGEMENT

    Return-to-origin (RTO) and Return-to-merchant (RTM) support for every shipment in reverse flow, with real time reverse shipment tracking
  • SEAMLESS INTEGRATION

    Light and quick integration with SAP, Microsoft, IBM, Salesforce or in-house ERP, OMS and CRM systems using open APIs
  • ADVANCED GEOCODING

    World’s most accurate and diverse geo-coding engine with multiple map-data and geocoding partners, that works across 140+ countries
  • ROUTE PLANNING VISUALISATION

    Visually compare planned route against the actual route followed on a map interface and easily identify the bottlenecks
  • AUTOMATED OPTIMISATION

    Plans and optimizes routes and capacity for all distribution models, including Multiple Pick Up-Single Drop and Multiple Pick Up-Multiple Drop Algorithms
  • ADVANCED DASHBOARD

    Fully Configurable and customizable dashboards for individual stakeholders based on access levels to measure and analyse service levels in real-time
  • HEAT MAP ANALYSIS

    Heat map analysis of customer locations and delivery vehicle density
Delivery Location Clustering Based On Dynamic Capacity
Delivery Planning with Preferred Time Window Per Order
Predictive Delay Alerts and Real-time ETAs Updates