From well-known supermarket chains throughout Brazil to a multinational beverage manufacturer, as well as leaders in the fashion segment and the furniture and household appliances business, CWI’s retail clients use technological solutions to boost their sales and enable an exceptional shopping experience.
Some examples of projects we work on in Retail are: product recommendation and demand management based on Data Science, loyalty and discount programs, expansion of payment methods, quick purchase feature, UX/UI creations and improvements , CRO strategies, promotions and search engines, architectural reconstructions and digital transformation and agile processes.
We contribute to the results of large businesses through
e-commerce platforms, apps, applications for use in physical stores by both sellers and consumers, white label e-commerce ecosystem, promotion systems with 14 million participations and B2B application for creating digital menus and images for food aggregators.
Marketplace solutions, customizations on the SAP platform and integrations with partners such as VTEX are also part of our portfolio.
Furthermore, our work with retail giants has brought us diverse experiences, such as interfacing with overseas teams, managing interdependencies and participating in product definition processes such as Lean Inception..
![Photo of a shopping cart on top of a laptop.](https://cwi.com.br/wp-content/uploads/2024/01/varejo-text-422x380.png)
Check out some of our clients in this industry
Technologies applied in projects
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AWS Glue
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Amazon Kinesis
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Amazon Personalize
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Amazon SageMaker
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Angular
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ANSI C
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Apache Kafka
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API OpenAI
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Appium
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AWS
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Amazon CloudWatch
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Azure
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Azure Data Factory
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C#
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C++
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CSS
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Cypress
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Darts
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Databricks
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ChromaDB
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Microsoft Power Platform
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Anthropic Claude 2
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Keycloak
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Redis
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Equinix
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DynamoDB
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Amazon S3
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Lambda
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LangChain
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Docker
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EKS
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MongoDB
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Apache Beam
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Dataflow
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BigQuery
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.NET
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.NET Core
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Airflow
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Swift
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OpenCV
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Power BI
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PySpark
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RabbitMQ
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React
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React Native
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Scikit-learn
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SciPy
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Spring Boot
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Node.js
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Tableau
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TensorFlow
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TypeScript
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MySQL
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Python
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SQL Server
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Amazon EC2
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PostgreSQL
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Java
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Dynatrace
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ElasticSearch
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Flutter
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Git
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Github + Actions
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Google Cloud Platform (GCP)
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HTML
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HuggingFace
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IBM Cloud
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Amazon CloudFront
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JavaScript
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K6
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Keras
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Kibana
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Kotlin
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Kubernetes (K8s)
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MLFLow
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Next.js