From Boundaries to Borderless: Is Your Supply Chain Ready for the Global Ecosystem Challenges?

High stock levels - not the answer to volatile demand

Read the headline of a news article published in the FT, on June 4, 1982. Keith Oliver introduced, into the public lexicon, a new  way to refer to the business of moving goods around the world - he called it ‘supply chain management.’ Since then, the term SCM rapidly passed into the public domain – a sure sign the concept resonated with executives wrestling with the endless challenges of procurement, logistics, operations, sales, and marketing activities that fall within its realm.

From encompassing the sourcing value chain within the boundaries of the company to today, an integrated global ecosystem - where only the digital will stand the test of time - the potential for AI and Analytics to tap into and solve the most pressing problems the supply chain function faces - continues to remain unevenly tapped.

In this issue of AI of the Tiger, we explore how businesses are harnessing the power of AI and analytics to tackle their most significant supply chain challenges. From optimizing inventory levels and predicting demand to identifying inefficiencies and mitigating risks, the applications of AI in supply chain management are vast and transformative. Join us as we delve into real-world examples and solutions that are revolutionizing the way companies manage their supply chains in the digital age.

SC-AI: Connecting the Dots in Your Supply Chain

Today's supply chains are often hindered by siloed systems and disconnected data, making it challenging to make timely and contextual decisions. How do we tackle this? Tiger-SCAI, our unique offering for Supply Chain Intelligence, helps enhance visibility, agility, and resilience by establishing a connected data foundation and leveraging modular AI and analytics solvers.

Keep Calm and Curry On: How one F&B company revitalized their supply chain after the pandemic 

Post-pandemic, a large Fortune 500 company in the Food and Beverage space was facing problems in its supply chain network. On one hand, gaps in the supply chain negatively impacted distribution – reducing the service level, increasing the product delivery time, leading to customer dissatisfaction and overall revenue loss; while on the other hand, visibility gaps in inventory management meant that products were piling up in some warehouses and could not reach customers, causing wastage. 

Learn how Tiger Analytics and Gurobi came together to create an efficient supply chain solution that ultimately resulted in streamlined processes and better customer outcomes.

8 Keys to Unlock Insights Across a Manufacturer's Supply Chain with Power BI

A global manufacturer of HVAC systems had disparate data sources with a lack of consistent, high-quality data and inefficiencies. They wanted end-to-end visibility across the supply chain, covering pillars such as Plan, Source, Make, and Deliver. Discover how a comprehensive Power BI dashboard illuminated critical supply chain KPIs across all business units and manufacturing sites. By identifying eight key KPIs and providing contextual insights, the manufacturer enhanced customer service and streamlined operations.

Building Intelligent Supply Chains

With consumer’s changing needs, businesses need better demand forecasting, planning accuracy,  as well as supply chain visibility and traceability. An intelligent supply chain that is data-driven and optimizes end-to-end operations is the need of the hour. In this short video, learn how you can improve end-to-end visibility and master your supply chain to make smarter, faster decisions.

Low-Code and High Yields. How Intelligent Automation helped a global company score savings 

A global F&B company, selling to small businesses via third-party logistics providers, faced challenges in optimizing its multi-distribution center logistics chain for cost efficiency. They needed an optimization model to reduce transportation costs, improve delivery times, and enable rapid scenario modeling. A low-code intelligent automation came to their rescue. The solution empowered the client's supply chain team to simulate scenarios, assess cost implications, and achieve a 4% savings in shipping expenses, effectively connecting the right distribution centers to optimize their supply chain.

As the world navigates through uncertain times, the importance of a resilient and adaptable supply chain cannot be overstated. By harnessing the power of AI and advanced analytics, businesses can not only survive but thrive in the face of chaos.

How has your organization tackled supply chain challenges, and what role do you see AI playing in the future of supply chain management? Share your thoughts in the comments below and contribute to this important conversation.