“Tredence has been a long-standing, trusted partner in transforming our supply chain analytics and broader data and analytics capabilities at the Ecolab Digital Center."
Delivery Head - Data Engineering & Data Science
We help Global Capability Centres (GCCs) in supporting their AI mandates by leveraging Tredence's core strengths in AI, data engineering, analytics, and experience of working alongside Fortune 500 companies in retail, CPG, industrials, BFSI, telecom & media, travel & hospitality, and healthcare & life sciences.
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Our core services that help co-deliver value of Artificial Intelligence (AI), enabling Global Capability Centres (GCCs) with quicker deployments, reduced implementation cost, and accelerated time to market.
Transitioning GCCs from execution centers into strategic innovation engines. Leverage our domain expertise, talent augmentation model, LLMOps services, and training to extend your AI capabilities and upskill our teams.
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A constellation of specialized agents that simulates and scales the work of expert analysts. Milky Way helps orchestrate a decision intelligence ecosystem that don’t just assist, but learn, reason, and evolve with the business function like, customer analytics, supply chain, HR, and more.
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Help enterprises build 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.
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Tredence’s RAPID prototyping accelerator leverages artificial intelligence to reimagine and re-engineer business processes, going beyond incremental improvements to enable future-ready operating models. This includes:
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Leverage more than 30 data, AI, and ML accelerators to optimize all aspects of your business. Improve inventory visibility and optimization, sourcing and procurement, and operations and inventory forecasting while creating end-to-end supply chain visibility and orchestrating processes. Deliver value back to the business by reducing cost and waste while strengthening service levels.
Gain a tailored data model for your industry—consumer packaged goods, retail, health and life sciences, manufacturing, and more. Deploy a unified data foundation with a data catalog, lineage, and quality checks that connect to systems of record.
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Deploy an inventory control tower to build a resilient supply chain by creating real-time visibility and the ability to manage inventory across the entire network. Capitalize on centralized data and new capabilities to mitigate disruptions, minimize stockouts, and optimize working capital.
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Use a predictive supply risk management accelerator, with analytics and forecasting techniques, to anticipate potential supply chain disruptions. Proactively develop mitigation strategies to minimize supply chain impacts and enable smooth operations.
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Leverage intelligent demand forecasting with advanced algorithms and ML to predict product demand accurately. Optimize inventory levels and align supply chain strategies with customer needs.
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Deploy a supply chain command center to gain a centralized hub that uses real-time data and analytics to monitor, manage, and optimize operations. Speed decision-making and coordination across functions, enhancing efficiency and responsiveness.
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Data Scientists and Engineers
productivity boost across 15 enterprise enagagements
faster decision cycles across operations and planning
Reduction of Time-to-Value
NPS
A Fortune 500 company that provides safety, security and sustainability solutions to aerospace, building automation and industrial automation companies face a challenge in helping the first responders in prioritizing the alerts.
The basic alert system could not provide information on the severity and the nature of the fire incidents. There would be multiple reports of the same incident coming from different sources and at times there would be false reports as well. All of this would result in inefficient rescue operations and resource and personnel losses.
Tredence partnered with the company to ingest the alert data and combine it with the historical data pertaining to fire incidents, their severity, location and other parameters to build a real-time fire system health and status monitoring user dashboards. The dashboard could identify unique incidents, suggestive probable causes and the likely severity which allowed the first responders to manage the response accordingly. The solution would discern false reports from the actual incidents conserving crucial manpower.
90% improved visibility in fire risk factors
30% accelerated response speed to fire risks
~12% reduced false positives
A leading beverage company faced a fragmented reporting landscape with over 35,000 reports across business functions. Siloed data sources, limited interactivity, and dashboard overload led to decision fatigue and missed opportunities.
Tredence deployed an Agentic AI-driven solution combining RAG, DAX, and Power BI Copilots to simplify and modernize enterprise reporting.
45+ dashboards rationalized
150+ KPIs streamlined
30–40 mins saved per query
