Domain: Supply Chain Management
Service Area: Big Data & Advanced Analytics
Context
The client is large distributore Supply Chain facing increasing customer requirements for delivery, increasing suppliers requirements in stock on hands days as well as procurement and warehousing efficiency targets. Customers demand accurate and timely deliveries while organizations strive for lower inventory levels and cost efficiency. Key end to end supply chain issues were:
- On-time delivery fails
- Goods are delayed, lost, or damaged during stock movement.
- Goods are delivered to the wrong destination
- Order amounts are not met
- Too high warehouse levels and stock on hand lifecycle
- No proper visibility of the end to end product lifecycle
Solutions
The solution implemented by inventfor had the objective of building an end to end traceability of the product and the stock from the order to when the stock actually distributed and sold to the final customer. Inventfor team has ingested all data generated from the source systems including ERP, WMS, Distribution and sales channels leveraging Big Data and advanced analytics along with intelligent capabilities and an optimized platform, allowed us to build understanding of the end to end product lifecycle. This provided a viability of the process inefficiencies and gaps as well as pointed out the gaps and limitations in the current systems such as gaps in scanning the product in certain steps of the stock movements or gaps in the replenishment and distribution of certain products to the right channels/customers.
Outcomes
The solution implemented by inventfor using Big Data and advanced analytics had achieved in a short time +20% on time, 40% savings in warehousing costs
- Fewer mistakes in sorting and inventories.
- Warehouses on an adequate level
- Goods delivered on time.
- Order amounts are met.
- Right goods delivered to right destinations.