bSupplyConnect - 8-Wk Implementation

bSupplyConnect is a supply chain connected inventory Visualization platform that establishes information exchange on inventory visibility of suppliers along with in-house warehouse inventory visibility which enable OEMs to better plan their plant production, shipment schedules thereby optimizing the end-to-end agile supply chain response. The solution targets on supply chain personas like Plant Manager, Line Manager, Warehouse Manager, Logistics head, Supply Chain Director, etc. by giving them visibility to supplier raw material, OEM’s warehouse, in-transit inventory, shopfloor inventory and AL/ML aided decision making for exception management.

The benefits of solutions are visible in KPIs like high fill rate due to less stock out scenarios, high inventory accuracy with faster reconciliation, high production throughput with higher operational efficiency, lower production unused capacity costs and visibility into supplier lead time for efficient decision making. This results in Improved top line & bottom line with faster time to market due to higher throughput.

bSupplyConnect caters to six use cases which include –

1. Tier-1 suppliers’ inventory (raw material, WIP) visibility.
2. Excess inventory re-distribution within warehouses.
3. Event driven exception management of both quantity mismatch & time-deviation.
4. Tracking inventory in-transit across global & local routes.
5. Optimize product & parts availability to assure on-time delivery.
6. Parts-classification based inventory visibility, tracking and decision-support solution.

The solution is built on the Azure platform, leveraging services such as Azure Data Factory for data integration with ERP to load raw batch data into Data Lake Storage Gen2, Azure Databricks to transform RAW data that can be used for business analytics, Azure App Service to create web applications for landing pages, and Power BI for analytical dashboards. The solution is ERP agnostic offering with data lake being built with all possible supply chain dimensions, facts and attributes and can be plugged and played with pre-built visualizations covering maximum spectrum in term of visualization platforms used across manufacturing industry. With 30-40% overall effort saving in implementation, faster GTM and early user adoption can be easily accomplished in the solution implementation.