FST Soapbox
Real-time Supply Chain Monitoring Provides Improved Visibility, Safety, Protection

Global fast food chain McDonald’s manages more than 38,000 locations in over 100 countries, with thousands of suppliers. The company uses real-time supply chain monitoring to help ensure the availability of ingredients, minimize supply chain disruptions and uphold its commitment to food safety and responsible sourcing.

Whether you’re a massive global brand or a much smaller company, leveraging real-time data can help your organization identify potential disruptions in the supply chain—whether that’s a weather event, transportation delay, potential food safety breach, product shortage or other incident—and take prompt, proactive measures to address and resolve them.

Food brands should implement the following supply chain management best practices:

Real-time supply chain monitoring has significant benefits, including:

Enhanced risk management. Prompt identification of potential disruptions allows organizations to respond swiftly, minimizing the impact on the supply chain and safeguarding their reputation and finances. Unfortunately, when Chipotle faced severe food safety crises due to E. coli outbreaks in 2015, the consequences of inadequate real-time monitoring and response mechanisms resulted in extensive store closures, financial losses and damaged brand reputation. Having the proper tools and procedures in place can help organizations avoid similar crises in the future.

Operational optimization. Real-time visibility enables organizations to identify inefficiencies, streamline processes, reduce delays, and improve overall supply chain performance. For example, Conagra Brands digitized its supply chain to improve visibility and forecasting, better predict consumer demand, optimize processes, and improve efficiency and productivity. When the Covid-19 pandemic disrupted the global supply chain, Conagra wanted access to more robust data and insights, so they could better handle the supply chain and labor challenges they were facing. The organization adopted AI and machine learning tools to drive insights and optimize operations, and the results were impressive. Conagra increased operational output by 30%, and production capacity by 20% at one of its facilities, while improving productivity and order management, and reducing energy waste, manual work, costs, and out-of-stock items.

Cost savings and efficiency improvements. Real-time data analysis facilitates better decision-making, reducing costs associated with excess inventory, stockouts, and transportation inefficiencies. Procter & Gamble achieved significant cost savings by leveraging real-time supply chain monitoring, optimizing inventory levels, and improving demand forecasting accuracy.

Real-time supply chain monitoring offers organizations improved visibility, risk mitigation, operational optimization, and cost savings. By adopting best practices and leveraging advanced technologies, companies can enhance their supply chain performance, reputation, and overall successes.

 

 

 

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