The International Finance Corporation (IFC), the World Bank’s private sector arm, set out to provide relief to businesses in emerging regions as the pandemic roiled global markets. Stephanie von Friedeburg, MD and COO of the IFC, looks back on the year in a recent podcast where she reflects the following:

“There's been a substantive hit on supply chains, trade shocks. And so our trade finance business, which has always been a core of our business, has grown very substantially. And we've seen it in the poorest countries in particular, where we know that we need to continue to keep trade flowing. So we've seen an increase in trade finance in that relief piece. We've also seen many of our existing clients needing working capital and needing liquidity, and we believe it was important for us when we typically don't do a lot of liquidity or working capital, but important for us to step in and help our existing clients to withstand the crisis, keep them solvent so that when we come out of the crisis, we can rebuild faster and better.”

Equipment companies used to compete mostly on product and price. But that was before customers could get whatever they needed with just a click of a button. With reduced differentiation and diminishing sales margins, equipment companies are shifting the focus beyond product and price to what problems they can solve for their customers. Today’s equipment companies compete on service.

Which means that one of the biggest challenges equipment OEMs, dealers, rental, and service organizations face today is how to increase customer service levels. It’s this push for finding new and better ways to serve customer needs that are at the core of many of the key issues that are impacting the equipment industry today.

Read on for a deep dive into the top issues facing the equipment industry and how addressing these issues can help companies better compete on customer service.

Modern enterprise resource planning (ERP) systems are helping businesses around the globe—including your competitors—revolutionize their operations. Manufacturing companies of all sizes are adopting technology that is industry-specific and designed to better manage business processes on an integrated and real-time basis.

Technologically advanced ERP systems are an investment in your company’s operations, efficiency, intelligence, and productivity. Every feature of a modern ERP system ultimately ties back to these improvements, which enable your organization to become more productive, more competitive, and better positioned to meet your customers’ needs.

Traditionally, almost all business intelligence and analytics solutions were designed as general-purpose platforms or desktop tools suitable for any industry, department, or use case. That does mean, of course, that the burden of developing data models, data pipelines, dashboards, and reports falls to the customer. They effectively start with a 'blank sheet of paper,' which, in theory, can be developed to fit the organization's exact needs. However, the reality is that the organization may not have either the skills, resources, or time to develop an analytics solution that quickly meets business requirements.

The answer to avoiding this overhead of entirely homegrown analytics is to use a modern analytic application that can deliver ready-to-use analytics, right "out-of-the-box." Deployment and adoption of these analytic applications are accelerated because of built-in content developed by industry domain experts that understand the industries, roles, data, business applications, and specific analytics required by typical business user personas. A significant amount of development time can be saved because this domain-expertise-driven content can replace typical internal development processes.

Automotive manufacturers and their suppliers continue to increase their collaboration in various ways, whether this be through robotic process automation (RPA), data collection and exchange, or other methods that provide insights for scalability. With true, multi-enterprise collaboration, there are cross-training opportunities to convey customer needs and preferences for product innovation, giving manufacturers the ability to make rapid adjustments in real time. Collaborative behavior makes this happen, and it all starts with transparency.

However, building real trust, collaboration, and transparency goes beyond using a specific technology or workflow. At its core, this is about changing the culture of automotive OEMs and throughout their suppliers at every tier. Automotive companies who are true leaders in the industry consider the health of the entire supply network, not just their immediate interests. Making this change—as with almost all substantive transformations—requires change be from the top executive level down.

To keep up with lofty yet mandatory customer expectations, your supply chain can’t afford to stop investing in technology that improves processes, connects business partners and IoT data, and uses machine learning algorithms to improve business outcomes. If the people tasked with running your supply chain are relying on poorly built or outdated systems filled with data quality issues, then they need new technology solutions and strategies to overcome these shortcomings to create true value.

As you strive to balance cost while simultaneously improve your customer service, you are no doubt confronting issues that require better collaboration amongst your group as well as the numerous companies you interact with daily. The days of each department or company working on an island while hoping groups further downstream can correct any mistakes are long gone.

Nowadays, those of us in the supply chain space realize the need for ongoing collaboration with everyone who touches our supply chain. This can take the form of sharing data around forecasts, inventory positions, capacity plans, order status (both at rest and in-transit), as well as visibility into shipments.

Competitive supply chains must enable a new level of coordinated performance that creates a high-fidelity picture of in-process flows across your extended network. Building the continuous supply chain supports contextual deviations, conveys alerts and drives continuous planning via sense & respond capabilities.

Optimizing multi-party business processes

Supply chains are complex networks where over 80% of the data and processes sits within partner systems. To see and act on the latest picture of your supply chain, your company needs that data from each of your partners, but the problem is most companies rely solely on an enterprise-centric approach to solve a multi-enterprise problem.

The only way to overcome those limitations is to adopt a "network approach." Connecting all partners to shared processes, data and metrics managed within a single platform creates a single version of truth for all parties. This allows supply chains to eliminate the data silos and inherent latency in order to reduce the root causes of friction, variability and costs in today’s supply chains, both internally and externally.

I recently posted on LinkedIn to ask my colleagues for advice on how to manage my exploding workload. According to the latest Mental Health Index: U.S. Worker Edition from Total Brain, between November and December there was a 48% increase in the risk of depression—a risk level not seen since this past spring. Further, employees’ focus dropped 62%—a record low since the inception of the research in February 2020. While remote working has its benefits, most of us would argue that we need to make some significant changes for this style of working to be sustainable. Below are a few of the suggestions and ideas from professionals that commented on the post.