While 60% of companies now have visibility into their direct suppliers, a significant 40% still operate with blind spots, and visibility into deeper tiers of the supply chain remains a major challenge.
Build resilient supply chains
Proactively identify and respond to disruptions. Mitigate supplier failures and adapt to demand volatility with a unified, real-time view of your data.
Boost agility and time to market
Gain a competitive edge with AI-driven insights. Optimize inventory, automate workflows and adapt to market changes to launch products faster.
Improve supply chain visibility
Support end-to-end transparency. Track materials and products, strengthen supplier relationships and simplify adherence to regulatory and ESG standards.
SOLUTION BRIEF
Optimize the supply chain for increased operational efficiency and greater resilience
What is AI-powered Supply Chain Optimization?
Modern supply chains face unprecedented complexity from global disruptions, demand volatility and regulatory pressures. AI-powered Supply Chain Optimization uses a trusted data foundation to enhance demand forecasting, inventory control and logistics operations with greater accuracy and speed.
By unifying data across suppliers, products, and locations, AI-powered solutions provide a single, real-time view of your entire operation. This allows you to reduce costs, proactively mitigate risks and build a more resilient and agile supply chain that can adapt instantly to an ever-changing market.
Supply Chain Optimization success stories
Why supply chain management leaders choose Informatica
99%
inventory accuracy achieved
Psycho Bunny, the omnichannel clothing brand, increases revenue by 30% and achieves 99% inventory accuracy while reducing shipment issues.
225,000
meals daily for 100+ airlines
The global catering leader, producing over 225,000 meals daily, builds a unified data foundation to streamline supplier collaboration, enhance operational agility and drive sustainability by reducing food waste.
Real-time
data access
Lagardère Travel Retail gains access to real-time data across all points of its supply chain, enhancing the ability to locate and manage products efficiently.
-
99%
inventory accuracy achieved
Psycho Bunny, the omnichannel clothing brand, increases revenue by 30% and achieves 99% inventory accuracy while reducing shipment issues. -
225,000
meals daily for 100+ airlines
The global catering leader, producing over 225,000 meals daily, builds a unified data foundation to streamline supplier collaboration, enhance operational agility and drive sustainability by reducing food waste. -
Real-time
data access
Lagardère Travel Retail gains access to real-time data across all points of its supply chain, enhancing the ability to locate and manage products efficiently.
Solve your top supply chain challenges
Break down internal silos, elevate data quality and automate critical processes to master regulatory complexity and streamline your supply chain.
Unify fragmented supply chain data
Proactively resolve supply chain disruptions
Maintain a 360-degree view of supply chain
Help meet supply chain data governance and compliance demands
Prepare your supply chain data for AI and analytics
How IDMC powers Supply Chain Optimization
The Intelligent Data Management Cloud™ delivers AI-powered supply chain optimization through integrated data management, governance and analytics.
AI-powered multidomain master data management
Comprehensive, governed and compliant data
Automated supply chain data integration
AI-driven process automation
Real-time data connectivity and supply chain analytics
WEBINAR
AI Agents at Work: Driving Supply Chain Resilience and Agility
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DEMO
Optimize Supply Chain for AI-Powered Data Management
Enhance supply chains with AI-powered automation and intelligence. Gain full data visibility, detect risks early and utilize AI agents to boost efficiency.
eBook
CIO’s Guide: Data & AI Strategies to Transform Supply Chains
Access the CIO’s guide to discover four ways data and AI-driven strategies can revolutionize your supply chains, making them more adaptable and efficient.
Brochure
Optimize Your Supply Chain and Maximize Revenue
Get a Trusted View of All Your Data with Supplier Information Management
BLOG
Why Digital Twins Fail Without the Right Data Foundation
Most digital twins become expensive dashboards. Learn how unified asset data transforms digital twins into predictive decision engines.
eBook
Mitigate Supply Chain Risks: Data and AI Strategies
Learn how to mitigate supply chain risks with data and AI tactics for greater resilience. Explore the key role of trusted data and AI-powered platforms.
FAQs for Supply Chain Optimization
AI is used in Supply Chain Optimization to enhance efficiency and reduce costs by automating demand forecasting, inventory management and route planning. It analyzes large datasets to predict disruptions, optimize logistics and improve supplier selection. AI-driven insights support faster decision-making, increased agility and improved overall supply chain performance.
AI benefits Supply Chain Optimization by improving demand forecasting accuracy, reducing inventory costs and enhancing logistics efficiency. It enables real-time monitoring, predictive maintenance and faster decision-making, minimizing disruptions. AI also boosts supply chain agility, increases transparency and supports sustainable practices, leading to cost savings and better customer satisfaction.
Optimize supply chain operations with data by analyzing demand patterns, inventory levels and supplier performance to improve forecasting and reduce costs. Use data-driven insights to streamline logistics, enhance supplier collaboration and identify bottlenecks. Real-time data monitoring helps proactive decision-making, increasing efficiency, agility and overall supply chain resilience.
Common Supply Chain Optimization challenges include demand variability, inaccurate forecasting and inventory management issues. Other challenges are supplier disruptions, lack of real-time visibility, data silos and complex logistics. Addressing these requires effective data integration, advanced analytics and agile processes to improve efficiency and resilience.
Explore these related use cases
Regulatory Compliance & ESG
Meet compliance standards and increase data management efficiency.
Customer Experience Optimization
Deliver a customer-first experience with AI-powered data orchestration.
Business Process Optimization
Automate manual workflows to boost efficiency and productivity.
