Others

Pricing is a laborious process, from data collection to list creation. Far beyond determining a fair price aligned with the value perceived by customers, pricing teams face difficulties in collecting data from different sources and determining an assertive pricing strategy.

How an insurance company identified an opportunity of over +R$ 93 million per year through price optimization

When implemented, Aprix’s software generates significant results in a short time. Check out the case study of an insurance company, a client of Aprix.

Results

+23%
profit

for the company
Opportunity to increase the company's profitability by over R$ 93 million through the implementation of price optimization.

AI in decision making

Automated A/B testing
The system performs continuous and automated A/B tests, using machine learning to optimize future pricing scenarios.

0%

market share loss
The system has parameters that ensure that price changes do not impact market share.

01 second

to generate the optimal price
For each price request made by the user on the platform, the system's response time to generate an optimized price is just one second.

Efficient management

With the Aprix system, the automation of process steps removes obstacles in the tasks performed by the pricing team. The standardization of files and the automated collection of data shorten the manual execution of the process and reduce the error rate.

Intelligent optimization

Aprix’s algorithms are based on statistical models that favor the simulation of an accurate decision. Automatic checks also speed up decision-making, as they easily detect inconsistencies and errors.

Understanding the industry's pain points

Aprix’s expertise can assist various sectors in the evolution of pricing maturity, including: Civil Construction; Chemicals and Energy; Large Retailers; Services and others.

The Aprix pricing platform presents modules that solve common challenges in pricing for large companies, such as:

Data centralization challenges

Lack of standardization between information and data from multiple sources.

Problems in the operationalization of price lists

Excessive manual calculations that hinder granular price decisions.

Low agility in market assessment and reaction

Limited operational tasks and tools do not allow evaluating and reacting to market changes in the ideal time.

Lack of transparency and traceability

Difficulties in visualizing data and tracking decisions made create obstacles for audits.

Transforming challenges into opportunities

The application of the Aprix pricing system unifies the company’s databases, allowing for the automation of steps and making the process more robust. With an improved and efficient flow, opportunities for price optimization with AI are opened up.

Aprix Approach: The Aprix pricing system optimized decisions, streamlining the process through automation.

 

Operational efficiency

Time saving and prevention of manual errors with automation of manual tasks.

Pricing governance

Approval workflow and traceability of actions taken on the platform.

Automatic alerts

Identifies errors and business rule violations using AI, generating notifications on the platform.

Decision optimization

Use of machine learning to generate continuous improvement of price optimization decisions.

“We use Aprix data to anticipate weekly market indicators, increasing our analytical agility in our sector. With Aprix intelligence, we seek to anticipate consumer price movements and support our pricing decisions.”

Andréa Angelo - Partner | Inflation Strategist na Warren

Do you want to know more?

Understand how the Aprix system solves pricing challenges in your company.

Discover all the modules of the Aprix pricing system

The system is divided into modules, adaptable to serve each company according to its specific needs.