1. Improving Margins and Supply Chain Efficiency
We heard loud and clear from many attendees that they are most concerned with discovering new ways to widen their profit margins while increasing their efficiency. Many are looking to Retail and Demand Planning as the main mechanisms for ensuring customer satisfaction while maximizing the effectiveness of working capital and boosting business performance. Especially amid today’s economic uncertainty when consumer behaviors are liable to be volatile, and retailers need ways to maximize supply chain planning and operations efficiency. It is vital that companies embrace digital transformation to keep up with an evolving and fast-paced marketplace. With a more flexible and agile supply chain, companies adapt quickly to supply chain disruptions, taking advantage of new opportunities to drive increased market share instead of wasting time and energy fighting post-disruption fires.How Is Digital Transformation Powering the Race to a More Profitable and Resilient Supply Chain?
Read the blog now to discover insights into peer strategies→2. Discovering Retail-Relevant AI Application for Real World Benefits
One of the hot topics, especially in regard to efficiency and profit margin increase, was the application of artificial intelligence in the retail supply chain realm. As the discussion surrounding artificial intelligence grows in volume and complexity, retailers are looking for the payoff – the tangible use cases specific to their industry that will boost their business performance. They are looking for AI to make the transition from buzzword to reality and asking: who is using AI, and what are they getting out of it?Driving Automation in Allocation and Replenishment
By allowing machine learning to do the heavy lifting, an AI-supported allocation process allocates inventory to optimal store locations for maximum customer service, driving revenue and improved margins. It also reduces those profit-eroding markdowns that result from poorly-positioned stock. AI also plays a hand in next-generation replenishment, adding ease and efficiency while providing highly accurate replenishment plans and reducing planning friction. Take, for example, Kathmandu, a leading brand of outdoor and adventure apparel and equipment, with 160 stores and a growing ecommerce presence. By leveraging a suite of AI-driven planning capabilities, Kathmandu reduced in-store stock by an average of 10%, improved pre-clearance inventory sell-through, and increased cash flow. Discover how Kathmandu revolutionized its supply chain here →
