AI Flywheel for Business Growth

Accelerate and Amplify Business Growth with an AI Flywheel

Tredence Studio builds AI accelerators using an advanced AI Flywheel framework, enabling faster deployments, lower implementation costs, and rapid insights. This self-sustaining cycle drives innovation, solves current challenges, and unlocks future opportunities for scalable growth.

GenAI-enabled Data Migration Accelerators

Legacy systems faced high upkeep, limited integrations, and poor scalability. We built AI-powered data migration, ingestion, and validation to enable rapid MVP testing and full-stack scalability. Using GenAI agents, we generated test datasets, ensuring compliance and cross-platform scale on GCP, Azure, AWS, and Snowflake. This iterative model enabled faster deployment and continuous value delivery. By automating ingestion flows, we reduced manual tasks and notably saved overall operational overhead.

30-50% cost savings

4X faster deployment speeds

15% reduction in implementation cost

Agentic Framework for Verticalized GenAI Use Cases

High costs, complex multi-cloud AI management, and governance hurdles were tackled using the Foundry-to-Factory approach, accelerating PoC-to-production. Domain-specific AI agents solved needs like Sales & Operations Planning or Customer Profiling, driving swift deployments. Tools like multi-modal RAG, Text2SQL, Summarizer, and LLMOps governance reduced manual tasks. Multi-cloud setups and observability helped mitigate model drift and hallucinations.

30% cost reduction

40% faster provisioning

25% better model deployment

Customer 360

Organizations struggling with diverse customer data can leverage our customer 360 platform built on Databricks’ Medallion Architecture. ML-driven accelerators integrate multiple touchpoints, delivering insights on lifetime value, churn risk, and next purchase. COSMOS scaled from an MVP to process millions of records on Snowflake, Databricks, GCP Dataproc, and more. This approach ensures high performance, robust analytics, and continuous improvement.

$3B in marketing optimization

$300+ per household lifetime value increase

12% increase in marketing effectiveness

AI-enabled Data Harmonization

We used Double Diamond and Agile MLOps to evolve from an MVP detecting duplicates into a robust AI-driven platform. It harmonizes data across 20+ sources for global retailers and CPGs, resolving inconsistencies, taxonomy mismatches, and governance gaps within 8-10 weeks. Powered by Spark-optimized Python, fine-tuned LLMs, and orchestration across AWS, Azure, and GCP, it delivers reliability and scale. A Next.js front end offers a seamless, user-friendly interface.

28% improvement in data quality KPIs

5x productivity increase

80% accuracy across 10 countries

Supply Chain Control Tower

We empowered Sales, Inventory, Procurement, and Merchandising teams to make data-driven decisions by resolving domain-specific barriers. Built with Azure, it improved profitability, efficiency, and decisions. Starting with a Sales KPI MVP, we used rapid prototyping, SME collaboration, and ML models for forecasting and markdown optimization. Sub-modules like Predictive Supply Risk Monitoring, listed on Databricks Marketplace, illustrate the AI Flywheel’s continuous innovation.

40-45% reduction in development effort

30-40% faster deployment

20% improvement in on-time delivery rate

Data Science and MLOps Accelerators

Tredence's Data Science and MLOps accelerators streamline experimentation and deployment of ML models. The accelerators come with pre-built feature engineering corpus, benchmarks on model performance KPIs, and best practices for experiment tracking and model deployment.s

3x more adoption of DS models

25%-time savings on DS experiments

100% MLOps coverage for all DS workloads

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