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Why decision intelligence is essential for overcoming supply chain constraints

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The current supply chain disruption is one of the many types of crises the marketplace has faced over the years. Even before COVID-induced challenges had cargo ships anchored off of ports across the globe and store shelves barely stocked, supply chain leaders have been in a race to keep up with changing consumer demands, a shifting competitive landscape, and technological advances.

Yet, as the development, reach and success of businesses has become highly dependent on tightly linked supply chains, the structure of those connections has become increasingly fragile and intricately connected.

Over the last two years, an unprecedented supply chain crisis has unfolded. With networks spanning multiple continents, global supply chains have broken down. From COVID-19 and the war in Ukraine to a sideways freighter that blocked the Suez Canal for a week and a growing list of environmental disasters, the upheaval has created a new benchmark for business-as-usual. A survey from the UK Office for National Statistics showed that 40% of businesses in the wholesale and retail trade industry reported global supply chain disruptions at the end of the first quarter this year.

This disruption is closely tied to a failure of foresight and planning built into supply chain systems.

Asking the right questions

Many companies tackling supply chain disruption see themselves as “data-driven,” when in fact, most are not. A Gartner report shows that less than half of organizations have actively started to build a roadmap for supply chain digitization transformation, despite it being a key priority for most leaders. Another survey showed only two-thirds of supply chain organizations felt the strategy and execution of their supply chains were well aligned.

Business intelligence (BI) and analysis tools were the promised future, where business users could easily access and transform huge volumes of corporate-wide data to predict business outcomes and future demand. However, the reality is that traditional BI solutions and ERP systems are static and can only provide a snapshot of the present or past.

Decision intelligence rests on prescriptive analytics

Such foresight comes from adding a prescriptive analytics layer to a firm’s supply chain management. This layer answers the question “what should happen” and becomes the basis for generating decisions, not just insights. This approach elevates the level of analytic inquiry, using machine learning and optimization models to propose a course of action based on data, analytics and business models.

Ultimately, this can dramatically transform how companies manage the flow of goods throughout their supply chains because it resolves the question how to proceed to achieve the targeted outcome.

Decision intelligence and the future of the supply chain

Taking a new approach to supply chains relies on a new vision for data in an organization. Data is the engine of growth and the source of intelligence that will allow businesses to get a grip on their supply chains.

This means drawing on data from a wider variety of sources than ever before. Businesses need more actionable, real-time data from across their supply chains. They need to quickly and securely access multiple data sources across on-premises data centers and multiple clouds. To plan for future shocks, businesses need to learn from this historic moment and feed this information into predictive and prescriptive analytics modeling.

A new tomorrow

Supply chain management solutions based on decision intelligence and real-time prescriptive analytics models are potent instruments in the fight against the supply chain crisis. Such systems can improve overall processes throughout the enterprise and build resilience into demand forecasts. They can reduce costs associated with overstocking, inventory stockouts, and product obsolescence — even in the face of widespread crises.

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What’s Behind the Inventory Crisis of 2016?

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The last time the inventory-to-sales ratio was this high was 2009, when we were in the throes of the Great Recession – people lost jobs, businesses closed, nobody was spending, nobody was growing.

What does it mean that inventory levels are this high in 2016? Are consumers not spending? Are we headed for another recession? Or are other forces at work?

Well, in April the Bureau of Economic Analysis reported that consumer spending experienced its biggest gain in six years. And while JPMorgan recently reported an increased probability of a recession in the next 12 months, no one’s sounding the alarm bells quite yet. Besides, inventory levels have been high since last fall.

So what else could be at work?

The Marketplace

Traditionally, a drop in consumer demand would cause a short-term build-up of inventory. But businesses would eventually compensate by cutting orders and manufacturers would produce less. But as we’ve seen, demand isn’t going down. And yet, inventory isn’t moving. Why?

One major culprit is the way consumers shop. Their expectations have changed. This is the age of Amazon Prime, Instacart, Uber and Lyft. Free shipping. In-store pick-up. 1-hour delivery. Easy exchanges and returns. Above all – convenience. If it isn’t convenient for a customer to buy something they want, they won’t buy it – or they’ll buy it somewhere else. Fulfillment has usurped the throne of customer satisfaction.

Traditional retailers have struggled because of this. As young, tech-driven start-ups bite into market with the luxury of fresh starts, traditional retailers have tried to stay competitive. One common tactic has been to keep buffer inventory on hand. Out-of-stock inventory kills customer loyalty. Not being able to fulfill quickly kills customer loyalty. But having lots of inventory doesn’t equate to efficient fulfillment. That requires having a modern, flexible supply chain. Without agility, retailers often lack the competence to satisfy customer demand, let alone fulfilling profitably.

Read more at  What’s Behind the Inventory Crisis of 2016?

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Tapping into the ‘big data’ that can help Greek supply chains to be more agile

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Supply chain platform provider GT Nexus has begun tapping into the big data that has accumulated in its system to help shippers, carriers and forwarders provide “assurance of supply”.

In an interview prompted by the possibility of a Greek exit from the Eurozone, GT Nexus’s EMEA director of marketing, Boris Felgendreher, said the Greek crisis bore all the hallmarks of major disruption – the sort that shows the limitations of supply chain planning.

“This sort of situation puts a premium on being agile, in respect of companies being able to move from one sourcing location to another, and that is always difficult. This particular disruption has an added element in that it is financial,” he said, alluding to the fears of a ‘Grexit’ and the problems Greek companies have with making and receiving payments.

And although Greece itself has accepted the terms of its bailout, a number of Eurozone countries have still to ratify the deal, meaning the threat of a Greek exit persists.

However, Mr Felgendreher explained that a recent development by GT Nexus could offer firms a way to circumvent these issues through a “fusion of the physical and financial supply chains”, following an agreement between the platform developer and trade finance solutions provider SeaburyTFX.

SeaburyTFX has developed a funding programme that leverages big data on the GT Nexus platform to deliver suppliers access to low-cost capital. The programme opens the flow of capital into the supply chain to reduce costs and risk by basing funding decisions on the trading partners’ performance history, instead of the buyer’s or supplier’s credit.

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