e.IQ Platform for Supply Chain Management
Build superior processes for suppliers and clients with effortless automation.
Popular Supply Chain Management Use Cases
Transparency in Source-to-Store Operations
Bring transparency in the manual Source-to-Store processes for better data visibility and building customer loyalty.
How it works?
- Use decentralized data and improve security using a blockchain network.
- Real-time data monitoring through automated data audit.
- Reduce high-labor costs and improve efficiency through end-to-end workflows.
Supply and Demand Synchronization
Improve planning through better synchronization between the Supply and Demand side of the business.
How it works?
- Predict inventory levels needed based on historical data and demand patterns using Machine Learning.
- Automate the “knock-on” effects of unexpected demand changes including an update to ERP and Order Processing Systems.
- Bring near real-time visibility to SCM leaders through an advanced analytics-driven “Operational Cockpit”.
Next-gen Shipment Management
Automate the scheduling, tracking, and communication-related processes in the shipment lifecycle.
How it works?
- AI/ML models to recommend the fastest and most cost-effective options for scheduling shipments across multiple logistics providers.
- Use IoT and streaming data to track and report the real-time status of shipments.
- Integrate with Conversational AI interfaces to communicate status to customers and answer shipment related queries and service requests for rescheduling.
Returns Processing
Effectively manage the higher volumes of product returns due to the increased use of B2C oriented retail practices.
How it works?
- Design an automated frictionless returns process that is integrated with core SCM and ERP systems.
- Schedule returns pick-up, update loyalty points, and trigger refund payment.
- Verify return status upon arrival of goods and update inventory.
Talk to us today to learn how the e.IQ platform has helped an Agritech major improve their supply chain processes.
Seed to Store Tracebility using Blockchain
Client Context
A US based agricultural major was looking at ways to modernize its manual seed-to-store processes, reduce discrepancies in dealing with intermediaries and provide transparency of sourcing to end consumers.
Business Process Area
Seed-to-store as part of Supply Chain Process
Value Delivered:
- 100% Traceability of products at each point within the distribution chain
- 40% Increase in customer satisfaction
- 70% Reduction in discrepancies whilst handling queries through intermediaries
“Medtronic in India has different ways of reaching out to our customers. One of them is direct supply to the healthcare providers. There is a lot of complexity involved in this like managing the inventory, associated purchase orders, consumption metrics etc. The integrated capabilities for handling workflows, data, dashboards and web application front-end enabled us to streamline the overall operations effectively.”