What challenges did Tidas face before AI implementation?

Reduce infrastructure costs and improve flexibility for a cloud-based credit platform. Modernize and scale a web app serving retailers and consumers. Handle large data volumes for faster analytics and reporting. Improve availability, security, and low latency while expanding to more stores.

What was the impact of the AI solution?

30% cost savings after migration. 50% higher resource availability compared with the previous cloud provider. Tripled the number of stores served. Faster development of features and application uploads. Time savings in data analytics tasks.

Source

GCP

Tidas enhances its cloud infrastructure and triples its environment's store base

Use case typeCloud migrationUpdated Jun 13, 2026

Tidas offers credit solutions for retailers, including installment-sales payment management, receivables anticipation, payment guarantees, and debt collection. The company migrated its web-based credit solution from a prior provider to Google Cloud to reduce cost, improve flexibility, and support scaling. With partner Movti, Tidas redesgned its environment and added infrastructure and data capabilities to improve development velocity, analytics, availability, security, and latency.

Organization: Tidas
Industry: Finance
Location: Brazil
Published: February 2019

Reported outcomes

+50%

quantified impactRisk, reliability & safety

−30%cost

Strategic outcomes

Scale & capacityTripled stores servedCost efficiencyReduced infrastructure costsSpeed & agilityFaster feature development and uploadsBetter decisions & insightImproved analytics and reporting

Catalog median for risk, reliability & safety deployments: +100% across 56 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

1Cloud migration
2Platform modernization
3Data analytics modernization

Reduce infrastructure costs and improve flexibility for a cloud-based credit platform.
Modernize and scale a web app serving retailers and consumers.
Handle large data volumes for faster analytics and reporting.
Improve availability, security, and low latency while expanding to more stores.

Migrated the platform to Google Cloud in February 2019, completing the move in about four months.
Used Cloud Load Balancing to distribute traffic across instances.
Used Google Cloud Armor to protect applications behind load balancers.
Used BigQuery and Datastream to support large-scale analytics and continuous data replication.
Used Cloud SQL for PostgreSQL to support high availability and read-only reporting.
Worked with Movti to redesign the environment and incorporate new solutions into developer workflows.

Technologies

Google Cloud Armor Cloud Load Balancing BigQuery Datastream Cloud SQL

30% cost savings after migration.
50% higher resource availability compared with the previous cloud provider.
Tripled the number of stores served.
Faster development of features and application uploads.
Time savings in data analytics tasks.

Architecture

Tidas migrated its cloud-based credit solution to Google Cloud and then redesigned the environment with partner support, using Cloud Load Balancing, Google Cloud Armor, BigQuery, Datastream, and Cloud SQL to improve traffic distribution, security, reporting, and data replication.

Implementation partners1

Movti

Sources & evidence1

Groundedness: 4/5Type: Customer StoryPublished: Feb 1, 2019Publisher: Google CloudEvidence: PrimaryConfidence: High

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

Explore related AI use cases

Customer evidence