CASE STUDY
Company
Western Power
Location
Australia
Industry
Utility – Energy
ERP
Ellipse ERP
Challenge
Frequent stock-outs due to poor visibility
Solution
Netstock integrated with Ellipse
Result
Fast and accurate visibility of stock-outs and potential stock-outs
Using heavily customised macros for data extraction and processing, Western Power was using MS-Excel in conjunction with MS-Access for its inventory forecasting and replenishment. Since the extractions for stock-out and potential stock-out data was lengthy frequent stock-outs occurred.
We implemented Netstock shortly prior to the COVID-19 pandemic and our team is already seeing the benefits.
Katheryn Asenjo, Supply Chain Leader, Western Power.
Netstock was selected as it met the Enterprise requirements that Western Power needed and ticked all the boxes on data security standards.
“Once Netstock was installed it provided daily visibility of potential and real stock-outs, significantly helping the business with proactive measures for customer supply. The installation also now provides an overview of surplus orders and excess stock.
We implemented Netstock shortly before the COVID-19 pandemic, and our team is already seeing the benefits. We have faster, more accurate visibility of potential material shortages. This enables us to engage customers sooner, ensuring there is minimal impact on work planned,” said Katheryn Asenjo, Supply Chain Leader, Western Power.
“With Netstock being a remote-first business and the product cloud-based, all implementation and training were done online. It was effective and efficient,” concluded Katheryn.
With Netstock being a remotefirst business and the product cloudbased, all implementation and training were done online. It was effective and efficient. Katheryn Asenjo, supply chain team leader.
Katheryn Asenjo, Supply Chain Leader, Western Power.
FREE RESOURCE
The ultimate guide to inventory management
Learn about the six fundamental principles of inventory optimization that enable you to make informed decisions that balance current demand with future need.