Manufacturers increasingly rely on service as a revenue driver, from warranties and repairs to long-term service contracts and predictive maintenance. But servicing industrial equipment is complex, involving specialised skills, strict regulations, and highly coordinated schedules. Traditional planning simply can’t keep pace. Multi‑Time Horizon Planning (MTHP) provides a connected approach to planning field service, plant maintenance, and aftermarket operations. Each horizon focuses on different
1. Understand Demand To optimize inventory, comprehending demand patterns is essential. Utilize historical sales data to forecast future needs, considering seasonal fluctuations and market trends. This predictive approach allows you to maintain optimal stock levels, avoiding both overstocking, which ties up capital and increases storage costs, and understocking, which can lead to missed sales opportunities
Emissions measurement in manufacturing is the process of capturing, calculating, and reporting Scope 1, 2, and 3 greenhouse gas emissions using operational data from production systems, assets, facilities, energy infrastructure, and supply chains. For many manufacturers, the challenge is not a lack of data. It is a lack of visibility. The information needed to measure
What is warehouse management? Warehouse management is the control of how materials and products move through a facility. This includes receiving, storage, internal movement, and outbound shipments. In a manufacturing environment, the warehouse supports more than storage. It connects incoming materials to production and links finished goods to customers. Every receipt, replenishment, and shipment passes
1. Define your goals and metrics The first step to improve your supply chain visibility is to define what you want to achieve and how you will measure it. For example, you may want to increase the accuracy of your inventory data, reduce the lead time of your orders, or improve the quality of your
This blog has been co-written by Carol Johnston, VP, Energy, Utilities and Resources and Sophie Graham, Chief Sustainability Officer. The energy transition is no longer just about sustainability, it’s about affordability, energy independence, and resilience. Two years on from Europe’s last gas crisis – then triggered by the Russian invasion of Ukraine, now by the Iran war, businesses across the globe are again faced with supply chain disruptions and growing energy prices. Now more than ever, reducing dependency on fossil fuels via AI-enhanced energy diversification and optimization is becoming a critical solution to energy security concerns.
Service operations are more complex than ever. Demand is unpredictable, resources are tight, and customers now expect immediate, frictionless service. But most organizations still plan in disconnected layers, long term forecasting here, shift planning there, real time scheduling somewhere else. The result? Constant firefighting, fragile schedules, and teams stretched thin. Multi Time Horizon Planning changes this by connecting every
1. Assess the current state Before you recommend any software solution, you need to understand the current state of your client’s supply chain. What are the main goals, challenges, and pain points? How do they measure their performance and efficiency? What are the existing systems, tools, and data sources they use? How do they communicate
What is a digital worker in manufacturing? A digital worker is an AI-powered operational agent that can execute specific business tasks across systems, workflows and teams. Unlike traditional automation tools that follow fixed rules, digital workers can work with context, interpret operational information, make governed decisions and coordinate actions across multiple systems. In manufacturing environments, digital workers are typically
I just got back from the 2026 Gartner Supply Chain Symposium/Xpo, and one message came through louder than anything else: AI isn’t coming, it’s already here. The real problem isn’t whether organizations have the technology. It’s whether they’re structured to use it. Most organizations are trying to bolt AI onto workforce models built for a different era, ones built around human-centric decisions, sequential workflows, and functional silos. And the gap between AI
