Improving Grocery Supply Chains with a Better TMS
Grocery supply chains are being stretched and asked to do much more today in the face of new competitive disruptions and new trends in consumer behavior.
Disruptors like Amazon Fresh are delivering directly to the home, big box chains are fighting to win in grocery and consumers are demanding new concepts, greater variety and new options in delivery and pick-up based on their omni-channel experiences in other industries.
Today’s grocery supply chains can be more nimble and agile in order to deliver these experiences.
One way that Manhattan Associates has responded is the addition of probabilistic modeling functionality into our Transportation Management System, where shippers can perform a variety of “what-if” scenarios, such as determining optimal freight term assignment.
Unlike traditional modeling tools, probabilistic modeling accounts for variability, which can provide more accurate results than simply using averages.
This capability helps our customers be more agile and respond faster when supply chain disruptions occur, such as winter storms, or provide fresh insight into the business ramifications of expanding into new territories, opening up a new distribution center and other supply chain changes.
From summer produce to crazy peak volumes in November and December that are 10 times the norm, knowing not just how but when your supply chain needs to flex is what makes today’s supply chain needs so extreme.
Supply chain pressures today are greater than they were yesterday. And tomorrows will be greater than today.
The key is always making sure you’re ‘ready’ with the right solution.