While crafting strategies for operational efficiency, executives face the single most unpredictable challenge: consumer behavior. Trends appear (and disappear) faster, and with more intensity, in recent years. Complicated logistics routes or unexpected defects can create a domino of issues for warehouse and logistic efficiency.
Faced with an unknowable variable, companies have tended to focus on damage control rather than finding proactive solutions. Reactive approaches worked for some time. But now, companies are contending with diminished improvements in operational speed and scale. In other words, it’s time to transform unpredictability into recognizable, actionable patterns.
Making the change requires powerful solutions and a philosophical change to efficiency. The solution is easy to find. The perspective shift may require a bit more work, but they are critical changes. Let’s explore them.
AI and machine learning improve decision making and resiliency
Today, companies have remarkable access to accurate, immediate and comprehensive data. Decisions on everything from transportation management to quality control should be easier and faster than they’ve ever been. Instead, some companies experience analysis paralysis that puts them in a perpetually reactive state.
To remain competitive for today’s customers, companies need to prioritize metabolizing the data in an actionable way. That means not simply purchasing AI or machine learning tools but also integrating them in daily decision making. Leadership must make a habit of using intelligent insights to optimize everything from procurement and modeling to billing and more. The results will be a more resilient and proactive supply chain that works efficiently.
Integrating robotics into warehousing and logistics is crucial for achieving next-level productivity and agility
Modern warehouse robotics and automation offer the traditional benefits of productivity along with the heightened adaptability that is so highly valued in today’s complex and rapidly changing operations. Furthermore, advances in supporting technologies have enabled mobile robots to safely and dynamically operate alongside workers throughout the warehouse. These robots collaborate with the workforce and increase productivity by directly enhancing worker performance.
The agility of warehouse robotics is especially well-suited to meet the dynamic needs of omni-channel fulfillment operations. Their advanced navigation, autonomous operation, and overall flexibility support the broad handling requirements and responsiveness needed to meet the frequent deadlines in these operations. With insight into deadlines, priorities and resource capacities, warehouse execution systems can dynamically orchestrate tasks to humans and robots to more efficiently balance urgency with maximum productivity.
