Introduction
Manufacturers are under pressure to increase productivity, reduce downtime and deliver high‑quality products faster. Assima’s manufacturing page notes that the company offers secure training for manufacturing systems, ensuring user proficiency, compliance and streamlined onboarding. This article examines how digital adoption can boost manufacturing efficiency by optimizing supply chains, leveraging advanced technologies and upskilling workers.
Optimizing supply chains and operations
Supply chain disruptions have highlighted the need for real‑time visibility. According to WalkMe’s digital transformation statistics, 80 % of manufacturers use tools to optimize their supply chains. However, many focus on isolated problems rather than end‑to‑end integration, and only 41 % use IoT for advanced sensing and inventory tracking. Digital adoption platforms help workers learn to use supply chain management and IoT systems effectively. Assima’s simulations mirror live applications, allowing staff to practice tasks such as scheduling production or tracking raw materials without risking disruptions.
Unlocking productivity through AI and robotics
Studies suggest that manufacturers who fail to adopt AI and robotics miss out on 30 % to 50 % of potential productivity. Digital adoption platforms train employees to interact with robots, automation controllers and predictive analytics tools. Workers can practice in simulated environments before operating actual equipment, reducing downtime and accidents. Generative AI is also making inroads; 55 % of industrial product manufacturers already use generative AI tools, and more than 40 % plan to invest further. DAPs provide step‑by‑step guidance on configuring and maintaining these systems, ensuring that investments translate into efficiency gains.
Data literacy and decision making
Data volumes in manufacturing are exploding; 44 % of manufacturers say their collected data has doubled in the past two years and expect it to triple by 2030. Yet many companies have limited confidence in analyzing this data. Digital adoption platforms embed tutorials and prompts that teach employees how to interpret dashboards, detect anomalies and make data‑driven decisions. Real‑time guidance ensures that workers capture accurate information, which is essential for predictive maintenance and quality control.
Building a culture of continuous improvement
While 92 % of manufacturers consider digital transformation a top priority, only 16 % have real‑time monitoring across the entire manufacturing process. Digital adoption platforms promote continuous improvement by making it easy to update procedures and distribute new training materials. When processes change, the DAP pushes updated workflows and simulations to all users simultaneously. This ensures that best practices spread quickly and reduces variation across sites. By capturing analytics on how employees interact with systems, leaders can identify bottlenecks and target additional training.
Conclusion
Manufacturing success hinges on efficiency, agility and a skilled workforce. Digital adoption platforms like Assima’s provide the foundation for these goals by delivering immersive training, real‑time guidance and rapid updates. By embracing digital adoption, manufacturers can optimize supply chains, unlock productivity gains through AI and robotics, and build a culture of continuous improvement. The result is a more resilient, data‑driven manufacturing operation that can thrive in an increasingly competitive global market.