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Blog
Case Study | Ensuring compliance and digital innovation for Kingspan with PIM
Kingspan is transforming its data management to become a leader in digital innovation, driven by their board and new UK legislation. This program enhances regulatory compliance, streamlines operations, and boosts market competitiveness through a global PIM platform. Blog
Article | The Chain Reaction: Why AI is the missing link in today’s supply chains
Discover how AI is reshaping supply chains - from smarter forecasting to reduced waste and supplier risk. Read how Amplifi and Dataiku empower leaders to build connected, resilient operations. Blog
Webinar | Dataiku and Perdue Farms in manufacturing industry spotlight
Gain valuable insights from their successful implementation of analytics for Operational Technology (OT) data and discover the immense business value it brings. Blog
Case Study | A recipe for scalable product data: How a global cookware manufacturer transformed PIM
Read how Amplifi helped a global cookware manufacturer create a single source of truth for product data with Salsify PIM - enabling consistency, control, and speed across regions. Blog
Case Study | Flexible data strategy and PIM implementation for global furniture manufacturer
Discover how Amplifi helped a leading global manufacturer of ergonomic furniture and custom solutions streamline their data management, enhanced customer experiences, and achieved sales growth by implementing the Salsify PIM platform. Blog
Case Study | Transforming product data strategy for a global outdoor apparel manufacturer
Read how Amplifi helped a global outdoor apparel manufacturer unify product data, align cross-brand strategy, and build a scalable PIM foundation through a global rollout of Salsify’s platform. Blog
Case Study | Cooke Aquaculture charts a course for successful multi-Domain MDM
Resource
Guide | Furniture: 5 trends driving modern data management
Blog
Article | Reducing scrap in manufacturing with data & machine learning
Manufacturing teams are under pressure to improve yield and reduce inefficiencies. With data and machine learning, operations leaders gain real-time visibility, predict quality issues, and make smarter decisions that cut scrap and boost performance.
