Volma (Novo Forecast Enterprise)

2018: Implementation of Novo Forecast Enterprise

About Customer

The manufacturer of construction and finishing materials "Volma," a Russian brand operating in the market of dry building mixtures, gypsum board and sinus plates. The company has 7 plants and more than 2,000 employees.

The company realized that further development was impossible without improving the quality of planning, both operational and annual, and came to the need to find a solution that would allow building the process of collecting, accounting and coordinating various factors that affect the accuracy of demand forecasting.

About the project

It was decided to implement Novo BI's Novo Forecast Enterprise forecasting system. It attracted the company with its functionality, as well as easy integration into the existing IT landscape, the ability to use Novo Forecast Enterprise as part of the S&OP process. The forecasts to be calculated are the source data for production scenario planning.

Volma has chosen a rational strategy when implementing the system - to implement the project in 2 stages: the implementation of a ready-made solution that allows you to receive a sales forecast in a short time and further expand the system functionality taking into account the tasks, notes Novo BI CEO Alexey Baturin

This approach has a number of advantages:

• Quick start of the forecasting process, which allows you to almost instantly improve the accuracy of the sales forecast and, accordingly, adjust production plans;
• involvement of employees of various departments.

At the 2nd stage of the project, the customer asked Novo BI to add a factor that was previously absent from the system - trade promotions. Specifically for this purpose, a workplace for trade marketers was agreed and developed, in which all the main parameters of trade shares (quantitative, value) were consolidated. This made it possible to significantly simplify the work of trade marketers, because earlier they had to calculate trade promotions in Excel, coordinate in paper (or electronic form), and enter the agreed trade promotion in SAP ERP.

Result

Implementation results:

• the economic effect of the implementation of the system amounted to 288 million rubles per year;
• Employees of the company use forecasts in the daily production planning process
• normalized inventory structure in plant warehouses (increased inventory turnover);
• Sales employees see the benefits of planning transparency because the factors they contribute are personalized production orders.
• the level of client service has increased;
• reduced risks of unsupply of orders by transport;
• reduced storage costs;
• the number of adjustments to production plans decreased.