Tangible Results in the Prevention of Technological Risks

Learn how Sofist helps leading companies reduce critical failures, increase predictability, protect revenue, strengthen a culture of quality, and operate with greater confidence in complex digital environments

Watch here Sofist's cases on video or published in the media!

Reclame Aqui Case | Salesforce

Reclame Aqui Case | Salesforce

Challenge:

Strategic automation

Risk faced:

High rework, manual validations, and critical bugs before production.

Main result:

Rework dropped from 62% to 28%.

Azos Case

Challenge:

Strategic automation

Risk faced:

Rapid growth without a resilient and scalable foundation.

Main result:

A 38% increase in the average delivery volume.

CaRMS Case

Challenge:

System resilience

Risk faced:

Bottlenecks, performance degradation, and a negative impact on the user experience.

Main result:

A 30% increase in user satisfaction.

Cosmetics and Beauty E-commerce Case

Cosmetics and Beauty E-commerce Case

Challenge:

Strategic automation

Risk faced:

Serious bugs in the end-user client, affecting conversion rates and reputation.

Main result:

R$ 208,000 per hour in protected revenue.

Orchid Black case

Orchid Black case

Challenge:

Work Hours Audit

Risk faced:

Growth without the infrastructure to maintain quality and predictability.

Main result:

Greater clarity for decision-making and a high-quality budget.

Allos case

Challenge:

Strategic automation

Risk faced:

Inconsistent processes, low standardization, and low predictability.

Main result:

Reduced to a few hours from 7 days.

Webmotors case

Challenge:

Strategic automation

Risk faced:

Low standardization and difficulty in scaling effectively.

Main result:

100% of API tests are automated.

Unico Case

Challenge:

Strategic automation

Risk faced:

Bugs in production, low coverage, and unstable critical deliveries.

Main result:

A 207% increase in unit test coverage.

Cia. Hering case

Cia. Hering case

Challenge:

System resilience

Risk faced:

Slow performance, a degraded user experience, and operational limitations.

Main result:

Orders processed in 8 minutes to 1 minute and 30 seconds.

Hyperativa case

Hyperativa case

Challenge:

System resilience

Risk faced:

Loss of conversions, instability, and increased demand for support.

Main result:

Supports 8 times as many concurrent users.

Arezzo&Co case

Challenge:

Work Hours Audit

Risk faced:

High-demand instability is affecting the customer experience.

Main result:

Support for up to 10 times the growth on Black Friday.

DM Case

Challenge:

Work Hours Audit

Risk faced:

Technological advancement without quality standards or alignment.

Main result:

Quality standards to support innovation.

iFood case

Challenge:

Work Hours Audit

Risk faced:

Bugs in production, a poorer user experience, and lower conversion rates.

Main result:

More than a 60% reduction in bugs in production.

Magalu case

Challenge:

System resilience

Risk faced:

Poor performance in digital and physical retail channels.

Main result:

Up to 30% better performance in mission-critical applications.

Whirlpool case

Challenge:

Work Hours Audit

Risk faced:

Digital growth without a culture of quality among the teams.

Main result:

Quality shared across squads.

Casas Bahia Group case

Casas Bahia Group case

Challenge:

System resilience

Risk faced:

Impacts on sales, performance, and customer experience during periods of high demand.

Main result:

Simulation of up to 300,000 real customers.

Reclame Aqui case

Reclame Aqui case

Challenge:

Work Hours Audit

Risk faced:

Bugs, lower conversion rates, and a perception of low quality.

Main result:

A culture of quality established in less than 6 months.

Netshoes case

Challenge:

System resilience

Risk faced:

Instability and poor performance during a critical sales period.

Main result:

More predictable infrastructure for Black Friday.

Delivery Center case

Delivery Center case

Challenge:

Strategic automation

Risk faced:

Critical impacts and reduced efficiency of the technology team.

Main result:

Less disruption during critical business moments.

Webcontinental case

Webcontinental case

Challenge:

Work Hours Audit

Risk faced:

Shopping cart abandonment, low mobile conversion rates, and lost revenue.

Main result:

A 25% decrease in shopping cart abandonment.

ChefsClub case

Challenge:

Work Hours Audit

Risk faced:

Crashes, a decline in mobile performance, and a loss of trust.

Main result:

99% of users have never experienced a crash.

Sinch case

Challenge:

Strategic automation

Risk faced:

Downtime, reduced efficiency, and an impact on revenue and customers.

Main result:

Reduced downtime and improved satisfaction.

ConsenSys case

Challenge:

Strategic automation

Risk faced:

Delivery issues, rework, and a loss of confidence in the product.

Main result:

Delivery of a product with no bugs reported in the case.

Azos Case

Challenge:

Strategic automation

Risk faced:

Rapid growth without a resilient and scalable foundation.

Main result:

A 38% increase in the average delivery volume.

CaRMS Case

Challenge:

System resilience

Risk faced:

Bottlenecks, performance degradation, and a negative impact on the user experience.

Main result:

A 30% increase in user satisfaction.

Cosmetics and Beauty E-commerce Case

Cosmetics and Beauty E-commerce Case

Challenge:

Strategic automation

Risk faced:

Serious bugs in the end-user client, affecting conversion rates and reputation.

Main result:

R$ 208,000 per hour in protected revenue.

DM Case

Challenge:

Work Hours Audit

Risk faced:

Technological advancement without quality standards or alignment.

Main result:

Quality standards to support innovation.

Reclame Aqui Case | Salesforce

Reclame Aqui Case | Salesforce

Challenge:

Strategic automation

Risk faced:

High rework, manual validations, and critical bugs before production.

Main result:

Rework dropped from 62% to 28%.

Azos Case

Challenge:

Strategic automation

Risk faced:

Rapid growth without a resilient and scalable foundation.

Main result:

A 38% increase in the average delivery volume.

Cosmetics and Beauty E-commerce Case

Cosmetics and Beauty E-commerce Case

Challenge:

Strategic automation

Risk faced:

Serious bugs in the end-user client, affecting conversion rates and reputation.

Main result:

R$ 208,000 per hour in protected revenue.

Allos case

Challenge:

Strategic automation

Risk faced:

Inconsistent processes, low standardization, and low predictability.

Main result:

Reduced to a few hours from 7 days.

Webmotors case

Challenge:

Strategic automation

Risk faced:

Low standardization and difficulty in scaling effectively.

Main result:

100% of API tests are automated.

Unico Case

Challenge:

Strategic automation

Risk faced:

Bugs in production, low coverage, and unstable critical deliveries.

Main result:

A 207% increase in unit test coverage.

Delivery Center case

Delivery Center case

Challenge:

Strategic automation

Risk faced:

Critical impacts and reduced efficiency of the technology team.

Main result:

Less disruption during critical business moments.

Sinch case

Challenge:

Strategic automation

Risk faced:

Downtime, reduced efficiency, and an impact on revenue and customers.

Main result:

Reduced downtime and improved satisfaction.

ConsenSys case

Challenge:

Strategic automation

Risk faced:

Delivery issues, rework, and a loss of confidence in the product.

Main result:

Delivery of a product with no bugs reported in the case.

CaRMS Case

Challenge:

System resilience

Risk faced:

Bottlenecks, performance degradation, and a negative impact on the user experience.

Main result:

A 30% increase in user satisfaction.

Cia. Hering case

Cia. Hering case

Challenge:

System resilience

Risk faced:

Slow performance, a degraded user experience, and operational limitations.

Main result:

Orders processed in 8 minutes to 1 minute and 30 seconds.

Hyperativa case

Hyperativa case

Challenge:

System resilience

Risk faced:

Loss of conversions, instability, and increased demand for support.

Main result:

Supports 8 times as many concurrent users.

Magalu case

Challenge:

System resilience

Risk faced:

Poor performance in digital and physical retail channels.

Main result:

Up to 30% better performance in mission-critical applications.

Casas Bahia Group case

Casas Bahia Group case

Challenge:

System resilience

Risk faced:

Impacts on sales, performance, and customer experience during periods of high demand.

Main result:

Simulation of up to 300,000 real customers.

Netshoes case

Challenge:

System resilience

Risk faced:

Instability and poor performance during a critical sales period.

Main result:

More predictable infrastructure for Black Friday.

Orchid Black case

Orchid Black case

Challenge:

Work Hours Audit

Risk faced:

Growth without the infrastructure to maintain quality and predictability.

Main result:

Greater clarity for decision-making and a high-quality budget.

Arezzo&Co case

Challenge:

Work Hours Audit

Risk faced:

High-demand instability is affecting the customer experience.

Main result:

Support for up to 10 times the growth on Black Friday.

DM Case

Challenge:

Work Hours Audit

Risk faced:

Technological advancement without quality standards or alignment.

Main result:

Quality standards to support innovation.

iFood case

Challenge:

Work Hours Audit

Risk faced:

Bugs in production, a poorer user experience, and lower conversion rates.

Main result:

More than a 60% reduction in bugs in production.

Whirlpool case

Challenge:

Work Hours Audit

Risk faced:

Digital growth without a culture of quality among the teams.

Main result:

Quality shared across squads.

Reclame Aqui case

Reclame Aqui case

Challenge:

Work Hours Audit

Risk faced:

Bugs, lower conversion rates, and a perception of low quality.

Main result:

A culture of quality established in less than 6 months.

Webcontinental case

Webcontinental case

Challenge:

Work Hours Audit

Risk faced:

Shopping cart abandonment, low mobile conversion rates, and lost revenue.

Main result:

A 25% decrease in shopping cart abandonment.

ChefsClub case

Challenge:

Work Hours Audit

Risk faced:

Crashes, a decline in mobile performance, and a loss of trust.

Main result:

99% of users have never experienced a crash.

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