Digital World

The growing vulnerabilities within supply chain management have underscored the need for supply chain data analytics . Supply chain data analytics plays a pivotal role in shaping the success journeys of organizations. Supply chain management involves myriad challenges, which only accentuates the importance of supply chain data analytics . Let us dig deep into how supply chain data analytics can benefit organizations. Mitigate Inventory Costs through Demand Sensing Supply chain data analytics can help organizations add value by gaining a clearer picture of their day-to-day operations. This is where predictive analytics comes into play for forecasting future demand. For a long time, organizations had to bank on past orders for estimating future demand, which means the decision-making of organizations was not aligned with future demand trends. Today, organizations can combine all their previous order data with real-time market analyses to create dynamic demand forecasts that pro...

Supply Chains are often at the heart of some of the biggest challenges organizations face. From commitments around customer experiences to balancing cost and revenues to top-tier decision making, supply chain problems impact almost all parts of an organization’s processes. At the core, the main issue is an imperfect demand-supply matching process. This was brought to the limelight by the Covid-19 supply chain collapse that showed us how disruptions can affect the entire chain from suppliers/manufacturers to customer-facing retailers. The Covid-19 crisis was an extreme case, but even during more manageable times lack of real-time and transparent visibility across the supply chain can make demand matching a big challenge. How Blockchain Can Optimize Supply Chains While Keeping Them More Agile? Better Freight Tracking With more reliable data feeding the tracking systems, Blockchain can make existing tracking tools more accurate and make it easier for organizations to stick to t...