“We were impressed by Tredence’s vision of enabling the last mile of analytics, leveraging best-in-class Azure accelerators, proven on Fortune 500 companies, throughout the data & AI modernization journey. They uniquely help expedite the platform build while simultaneously proving business value through rapid deployment of prioritized strategic AI/ML use-cases."
Director of Data Analytics, Loyalty, Market Research
Craft seamless decision journeys by unifying data, insights, and actions enabling consistent, contextual, and personalized experiences across all user touchpoints.
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Our Digital Engineering Services help enterprises build guided decision journeys across design, application, and infrastructure layers. We bring together multi-channel product development, scalable GenAI integration, and secure platform engineering to deliver human-centric, AI-augmented experiences that enhance productivity and drive meaningful outcomes. With API-first architecture and cost-aware cloud infrastructure, we build agile, intelligent tech stacks. Tailored for modern data and AI ecosystems, our services enable faster, smarter decisions across dashboards, agents, and workflows—delivering measurable business impact.
In the world of data, AI, and GenAI platforms, building the right product isn’t just about technology—it’s about aligning with real user needs, organizational context, and long-term value. This service enables organizations to define, validate, and de-risk AI-powered product ideas—from intelligent apps to agentic platforms—through strategic, user-centered MVPs.
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Designing for AI is not just about usability—it’s about building trust, clarity, and continuous feedback between humans and intelligent systems. Our UX for AI service helps you craft thoughtful, responsible, and adaptive interfaces for GenAI platforms, multi-agent systems, and AI-driven decision workflows.
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We build secure, scalable, and intelligent solutions that drive enterprise decision-making. From multi-channel decision apps to GenAI implementations, we combine robust architecture with deep integration expertise. Our API-first, cloud-native approach ensures speed, resilience, and extensibility—powering modern, high-performance systems that transform complex requirements into enterprise-grade digital solutions, at scale.
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We help enterprises build secure, scalable, and cost-effective infrastructure to operationalize AI. Our Infra for AI services offer AI-ready landing zones, governed multi/hybrid-cloud environments, and scalable architectures for ML, GenAI, and LLM workloads along with performance-optimized compute, Responsible AI frameworks, and governance models to ensure AI-native, future-ready cloud infrastructure.
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Our DevOps Engineering service helps teams deliver software faster, safer, and more reliably using automation-first, cloud-native practices. We build CI/CD pipelines, implement infrastructure-as-code, embed security, and modernize operations to support scalable, AI-driven platforms—enabling continuous delivery, efficient infrastructure management, and operational excellence across hybrid, cloud, and on-prem environments.
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Purpose-built accelerators form the backbone of our digital engineering approach, infusing speed, scalability, and intelligence into every layer. From cloud landing zones and click-to-deploy GenAI foundations to UI-to-code automation and cost governance tools, these accelerators reduce time-to-value, simplify complexity, and empower teams to build, scale, and optimize faster than ever.
Rapid XD is our upcoming AI-powered UI-to-Code accelerator that transforms UI designs—whether uploaded as images or described through text prompts—into production-ready React code. With real-time previews and seamless GitHub export, it helps teams accelerate UI development and ship high-quality interfaces in days, not weeks.
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Accelerate development by 50% with our GenAI-powered playbook engine. Leverage prebuilt code templates, embedded governance, and seamless GitHub Copilot integration to streamline builds. Designed for modern engineering teams, it transforms dev cycles into guided, automated sprints—turning ideas into production-grade code faster than ever.
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data, AI, and technology architecture experts
certified cloud practitioners
decision apps delivered to Fortune 100 clients
weeks for more than half of these apps
SLA compliance on 30 productionized apps
A global retailer serving 100M+ households faced a major challenge with less than 50% visibility into customer engagement across digital and physical channels. Teams relied on siloed data and legacy systems, leading to fragmented insights and slow, inefficient decision-making.
Tredence partnered with the global customer insight team to build a scalable customer experience platform that unified data across all touchpoints into a single, enterprise-grade 360° view. The solution democratized access to insights, enabled ML-driven customer segmentation, and boosted personalization at scale.
With enriched first-party data powering decisions across finance, merchandising, marketing, and supply chain, the retailer enhanced campaign efficiency, optimized budgets, and deepened partner engagement—turning customer intelligence into a competitive advantage.
14% increase in addressable customer data and visibility
$4.8M cost savings per year from optimized storage and processing
11% average lift in return on ad spend across campaigns
A leading global retailer sought a smarter way to reduce promotion spend across its general merchandising assortment. They needed a data-driven approach to calibrate discount depth and improve promotional profitability.
Tredence designed a flexible solution with future-state integration into JDA Assortment Planning and downstream pricing systems—paving the way for scalable, intelligent execution.
15-18% reduction in empty shelf
8-9% reduction in wastage
5-6% increase in revenue from markdown products
25% improvement in capture rate
A global cruise line leader set out to modernize its legacy reservation systems by building a unified, microservices-based architecture—eliminating brand-specific silos and embracing scalability, resilience, and real-time responsiveness. However, downstream systems remained batch-based and struggled to keep pace with this transformation.
Tredence partnered with the client to design and implement a near real-time data ingestion framework powered by Amazon MSK and Snowflake. The solution enabled dynamic topic discovery, schema evolution, self-healing connectors, and real-time streaming from microservices to the ODS layer. By transitioning from batch to a fully event-driven architecture, the client gained fine-grained, real-time access to operational data—fueling faster insights, improved code maintainability, and a scalable foundation for next-gen cruise operations.
Automated data consumption pipelines scale up
Low maintenance and operations cost
A fully dynamic and configurable ready to use end-to-end streaming framework
