Energia Case Study: How the Company Made Dealer Price Control 4× Faster While Analyzing 15× More Data

The Energia case demonstrates how automating dealer price monitoring can eliminate time-consuming manual work, free up employee resources, and provide fresh, reliable data for pricing decisions.

After implementing Priceva, the company reduced the time required for price analysis by four times while increasing the amount of data analyzed by 15 times.

Energia is an electrical equipment manufacturer founded in 2000. The company has its own engineering department and manufacturing facilities, including production operations in China.

Energia manufactures voltage stabilizers, uninterruptible power supplies (UPS), batteries, inverters, low-voltage equipment, and other electrical products under its own brand. Its products are designed to meet international quality and environmental safety requirements.

The company's assortment includes more than 3,000 products.
Energia has maintained an online presence almost since its foundation and has developed digital channels alongside its traditional sales operations.

Energia develops its own wholesale business, making dealer markup control an important part of its pricing operations.

This was challenging because the company worked with a large dealer network while its core assortment alone included approximately 200 products. Monitoring dealer pricing therefore required a significant amount of employee time.

Before automation, the entire process was manual.
Employees visited dealer websites and marketplaces, searched for products from the monitoring list, recorded their prices, and manually compiled the information in Excel spreadsheets.

Collecting the required amount of data could take several days.
Experience showed that this approach was inefficient. The collected pricing data could already be outdated the day after monitoring was completed.
Because the team had enough resources to perform monitoring only once every two weeks, the company could spend around ten days operating without an up-to-date understanding of dealer prices.

Manual collection and subsequent organization of the data also required considerable effort.

Limited employee resources meant monitoring had to focus on the most important products. Many other products were not monitored at all.

The primary objective was to monitor the company's core assortment of approximately 200 SKUs once a day.

Data needed to be collected from 20–30 key sellers.

Reliable information about dealer markups was particularly important for the marketing team. It allowed the company to understand current pricing conditions and adjust its own prices in response to market supply and demand.

In 2020, the company's Internet Marketing Specialist initiated the search for a solution that could automatically collect the pricing data required for business decisions.

The main selection criteria included:

• simple and intuitive configuration;
• maximum automation of data collection and convenient subsequent analysis;
• a customer-oriented approach from the account manager;
• service reliability;
• reasonable cost;
• the ability to adapt the service to specific business requirements;
• continuous development as websites, search engines, and marketplaces changed their algorithms.

The company held numerous discussions with potential providers, tested different services, and also experimented with outsourcing some of the work to independent specialists.

After an extensive selection and testing process, Energia chose Priceva.

Compared with the company's previous attempts to implement other solutions, setting up Priceva proved relatively straightforward and was completed within the expected timeframe.

The main challenges were typical of adopting any new system: employees needed time to become familiar with the platform, its functionality, and the details of its workflow.

No major implementation difficulties were reported.

Today, Priceva is used for regular dealer price monitoring.
Monitoring is configured for several regions, and the service can also collect data from websites that use anti-bot protection.

The company has additionally implemented custom data collection settings for marketplaces and tested the ability to save copies of monitored pages as evidence when checking MAP compliance.

The collected data is subsequently used to support adjustments to the company's selling prices.

The ability to launch unscheduled monitoring has also become particularly useful when market conditions change rapidly.

Under more stable conditions, weekly price adjustments had been sufficient. During periods of greater volatility, however, Energia sometimes needed to adjust prices twice a week.

Unscheduled monitoring provides the fresh data needed to make these adjustments quickly.

Three employees actively work with the service:

• Internet Marketing Specialist;
• Marketing and Advertising Director;
• Sales Director.

The team actively works in the Priceva dashboard once a week according to a distributed schedule. Additional unscheduled checks can be performed whenever necessary.

Employees first use charts and graphs with aggregated statistics to assess the current situation. These visualizations help them quickly identify changes and determine what actions may be required.

The team then exports customized Excel reports containing complete monitoring data for further analysis and repricing within the company's internal systems.

Automated price monitoring allowed Energia to shift routine data collection away from employees while significantly expanding the amount of pricing information available for analysis.

The company reduced the amount of time required to analyze dealer pricing by four times.

Instead of spending several days manually visiting seller websites and compiling spreadsheets, employees can work with pricing information collected and structured automatically by Priceva.

At the same time, Energia increased the volume of pricing information it could analyze by 15 times.

Automation made it possible to move beyond the limited number of products that employees had previously been able to check manually and gain much broader visibility into dealer pricing.

Before automation, dealer monitoring could be performed only once every two weeks, meaning the company often had to make decisions without current market information.

With Priceva, Energia can perform regular monitoring and launch additional scans when market conditions require faster action.

Having current dealer pricing information allows the company to respond more quickly to incoming requests and make timely price adjustments.

During periods of rapid market change, Energia can use unscheduled monitoring to obtain fresh data rather than waiting for the next regular monitoring cycle.

The Energia case shows how the value of price monitoring automation comes from both speed and scale. A process that previously required several days of manual work and could be repeated only once every two weeks became a regular, data-driven workflow.

By automating dealer monitoring with Priceva, Energia reduced the time spent on price analysis by four times while increasing the volume of information analyzed by 15 times. The company also gained access to fresher dealer pricing data, making it easier to respond to market changes and support repricing decisions with current information.

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