Use cases
Technology built to solve real challenges.
A representative selection of products, platforms and solutions to which our professionals have contributed. The experience is grouped by field to explain what was built, how technology was applied and which business objective it supported.
Customer intelligence
CRM, loyalty and personalization
Customer data, predictive models and omnichannel activation working as one decision system.
CRM and predictive marketing
Development and commercialization of a SaaS platform for CRM and eCommerce loyalty and personalization. It combined customer, transaction, store, product and browsing data with purchase-propensity, dynamic customer lifetime value (CLV) and recommendation models.
- Machine learning and deep learning
- CLV and purchase propensity
- One-to-one, best sellers and next best action
Loyalty and personalization
Design and implementation of communication strategies based on customer data, predictive models and recommendation engines. Activation across CRM, eCommerce, apps and other channels made each interaction more relevant and focused on improving return.
- CRM strategy
- Omnichannel personalization
- Activation and measurement
Applied artificial intelligence
Generative, predictive and multimodal AI
Artificial intelligence integrated into products and processes and connected to business data and decisions.
Generative and multimodal AI
Applications that generate reports with recommendations and alerts, create product descriptions from images and provide conversational support. eCommerce assistants and agents were connected to recommendation, CLV and propensity models to respond according to each customer's history and context.
- Text and image
- Automated reports and alerts
- Data-connected assistants and agents
AI for advanced SaaS products
Design and integration of predictive, generative and conversational capabilities within existing SaaS products. AI was incorporated into proprietary workflows, data and models to become a useful product capability rather than an isolated layer.
- Product integration
- Predictive and generative models
- Proprietary processes and data
AI agent for operations and data
Design and development of an artificial intelligence agent to support the operations department of a SaaS platform with large data volumes and compute-intensive processes. The agent can query and locate information, analyze data, create reports and facilitate API creation by connecting to infrastructure deployed on AWS and services such as Amazon S3.
- Agents connected to enterprise data
- Reports, queries and APIs
- AWS, Amazon S3 and data science
Virtual Try-On
Development of a SaaS solution using generative AI to create virtual models and dress them in real garments with highly realistic results. An application designed to showcase products, produce visual content and enrich the digital purchasing experience.
- Visual generative AI
- SaaS product
- eCommerce and content
SaaS platforms
Digital communication and automation
Platforms designed to centralize complex operations and turn them into manageable, scalable processes.
Digital Signage or Digital Communication
Development of a specialized SaaS solution to control, manage and schedule audiovisual content. The platform organizes programming and operates digital communication distributed across screens and locations.
- Audiovisual management
- Content scheduling
- Multi-location operations
Email and automation
Development of a SaaS email management and delivery platform with campaigns, automations, audiences and CRM. It included pop-up lead acquisition, customer imports, and tools to design and create communications.
- Campaigns and journeys
- CRM and audiences
- Lead acquisition and email creation
Retail data
Tracking and physical-space analytics
Mobility signals turned into operational knowledge to better understand how stores and locations are used.
Tracking and analytics
Development of a solution to analyze the movement of people using mobile identifiers and wifi networks. Occupancy, routes, zones and movement between locations were analyzed to turn mobility into useful operational information.
- Occupancy and routes
- Spatial analytics
- Operational insight
Cloud & FinOps
Infrastructure and cost optimization
Design, computing capacity, consumption and scalability addressed together to build and optimize infrastructure ready for growth.
Cloud architectures for SaaS applications
Design and creation of cloud infrastructure and architectures for SaaS applications, prepared to grow and operate with large data volumes and compute-intensive workloads. Services, processing, storage and scalability were defined against performance, availability, security and maintainability requirements.
- Cloud and SaaS architecture
- Large-scale data and computing
- Performance, security and high availability
Cloud infrastructure optimization
Technology infrastructure reviews for different clients, assessing architecture, consumption and service alternatives. More suitable and scalable options were identified and implemented to reduce costs without compromising performance, evolution or control.
- Architecture and consumption analysis
- Cloud optimization
- Scalability and cost control
This is only part of our experience.
We work from strategy and product through architecture, data and implementation. Every engagement is adapted to its context, team and intended outcome.
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