Top 10 Companies Revolutionizing Supply Chain in 2023

Food Huggers, a consumer brand that designs products to reduce waste at home, may be in an enviable position now but before they found Extensiv Order Manager, managing booming orders and staying on top of inventory was a huge operational challenge. The business has inventory spread across multiple geographically distributed warehouses, with orders received via multiple sales channels, including Shopify storefronts and Amazon.

Ensuring the right products are in the right place and at the right time is critical for companies also dealing with supply chain constraints and a high degree of variability. Uncertainty has become the name of the game and the only way to effectively optimize inventory through continuous, data-driven assessments, planning, and decision-making.

Unsurprisingly, today’s supply chain faces numerous issues, including sustainability, technology, global economic and political instability, talent management, and supply chain resilience. Advanced forecasting algorithms and predictive analytics are used in supply chain management to help organizations of all sizes make better decisions by providing insights into what’s going on in their business at any given moment and predicting future trends.

Supply chain leaders, including VPs, often find themselves making bets with unknown financial consequences. Having started with largely infeasible plans generated by deterministic “one-number” planning systems, compounded by unexpected supply or demand disruptions, they are forced into last-minute adjustments to meet operational and financial goals.

In an industry as competitive and fast-paced as Consumer Packaged Goods (CPG), standing out from the crowd requires innovation and adaptability. The cracks in the CPG supply chain were exposed long before the global pandemic struck, but the events of the past year only exacerbated the weaknesses.