Tayse Rugs successfully weaves Netstock into its inventory operations

Before implementing Netstock, Tayse Rugs used the basic functionality in their Acumatica ERP and spreadsheets to manage their demand forecasting. Using this manual method was time-consuming, and they were not receiving adequate results and frequently experienced stock-outs. To rectify these challenges, Tayse Rugs decided to invest in a solution developed specifically to manage inventory and selected Netstock as their preferred solution.

“For me, the Netstock classification matrix is an impressive feature as it looks at your highvalue and high-velocity items and plots them on a matrix that defines each item’s level of importance in your business. We could quickly see which were our slow-moving items and, by running promotions, could reduce those. We now have that “big picture” view and can action things like potential stock-outs before it becomes a problem.”

Forecasting accurately

When Tayse Rugs had to increase manufacturing quickly to meet their post COVID-19 demand, they could use the baseline data in Netstock, which enabled them to forecast more accurately. They could adjust the numbers by taking market knowledge and trends into account, allowing the team to place more sensible orders.

Minimizing stock-outs and reducing excess stock

“Besides the robust features in the product, I have found Netstock’s e-learning platform and online training materials to be far superior to any other software application that I have dealt with in the past. You can see Netstock has put in a lot of time and effort to create well-documented tutorials, on-demand webinars, and other online resources. This has helped us a great deal, especially when new staff members join, as they can quickly upskill.

Upskilling our staff members

Using Netstock has enabled us to minimize our stock-outs and reduce our excess across certain SKU’s. As a result, we now have a more balanced investment in inventory, and I would recommend Netstock to any inventory holding company,” Taylan concluded.