Enterprise Grade Digital Training: A Case Study on Fortune 100 Consumer Goods Manufacturer

• Functional Applications - Enterprise Resource Planning Systems (ERP)
• Functional Applications - Manufacturing Execution Systems (MES)

• Consumer Goods
• Education

• Facility Management
• Maintenance

• Personnel Tracking & Monitoring
• Time Sensitive Networking

• Training

The Fortune 100 Consumer Goods Manufacturer, a multinational corporation operating in various fields of industrial manufacturing, faced a significant challenge as a large portion of their veteran workforce approached retirement. The incorporation of increasingly sophisticated technology into frontline production processes meant that tasks such as preventive maintenance and line changeovers required more time and knowledge to complete. Machine operating procedures were complex and resulted in lengthy training times. The documentation was extensive and lacked visual aids, making it difficult for new employees to understand. The impending loss of veteran frontline operators and the uncaptured tribal knowledge posed a significant challenge in scaling the training and support for new employees across multiple facilities. The company also faced issues with increasing cycle times, suggesting that less experienced employees required more time to complete processes. This was costing the company valuable production time and millions of dollars across their 200+ plants.

The customer is a Fortune 100 Consumer Goods Manufacturer, a multinational corporation that operates in numerous fields of industrial manufacturing, including worker safety, health care, consumer goods, and other verticals. They have a loyal workforce, with many of their experienced employees remaining engaged on the frontline for over thirty years. Each of these employees has accumulated invaluable expertise. The company operates over 200 plants worldwide and has recently embarked on a digital transformation journey to improve operational efficiency and knowledge transfer within the organization.

The company partnered with Dozuki in 2018 to address these challenges. They equipped their experienced operators and technicians with tablets and an easy-to-use app to document the tribal knowledge that had helped their company run efficiently for so long. Dozuki, purpose-built for easily authoring and capturing process knowledge, turned this knowledge into step-by-step instructions on the floor. This new culture around knowledge capture paved the way to their larger corporate goal of launching an enterprise-level implementation of a connected worker solution across dozens of locations. The company's Operational Technology Engineer led the manufacturing technology team in piloting, productizing, and rolling out the connected worker solution. After using Dozuki for a year, the pilot was presented to the executive leadership team, who saw the value immediately. The company embarked on a multi-year, multi-phase roll-out process, scaling from a single pilot to 100+ plants in only two years, and continues to this day with 20,000+ users across the globe.

• The implementation of Dozuki has brought about significant improvements in the company's day-to-day operations. It has facilitated cross-departmental alignment, intertwining departments such as support, operations, HR, IT, and training. All of these departments received support, coaching, and a methodology for executing and scaling digital transformation. The company has also been able to capture and scale data securely, a critical requirement due to the nature of the industrial products they manufacture. Dozuki's PrivateCloud deployment provided security and data governance in a multi-facility rollout. The company can now quickly send information to the intended audience while maintaining proper security protocols. Dozuki has also improved visibility of changes to updates and approval processes. The company has successfully rolled out connected worker solutions at scale across dozens of facilities, improving operations in scalable ways.

• 40% reduction in onboarding time
• 50% faster training time
• 50% reduction in authoring time