Remove Predictive Analytics Remove Procurement Analytics Remove Study Remove Warehousing
article thumbnail

Prescriptive Analytics for Supply Chain Optimization: 6 Powerful Use Cases 

ThroughPut

If there’s any piece of technology or analytics that can help with the most advanced data-driven decision-making in the supply chain right now, that’s prescriptive analytics. It is the most promising form of analytics in the market currently. What Is Prescriptive Analytics in Supply Chain?

article thumbnail

AI in the Retail Industry: Benefits, Case Studies & Examples

ThroughPut

Real-time visibility was lacking, be it in warehousing or transportation, due to which delivery delays were common. Besides, AI is helping retailers optimize inventory, warehouse and pricing. Intelligent Warehousing with AI Analytics AI-driven analytics optimizes warehousing operations helping improve storage space and efficiency.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Consumers Are in Charge of the Digital Path to Purchase

Enterra Insights

Although retailers still talk about the digital path to purchase as an alternative to the traditional shopping journey, the lines between paths to purchase have blurred. With all generations getting more comfortable on the digital path to purchase, most retailers have adapted to this new reality and are pursuing omnichannel strategies.

article thumbnail

Best Logistics Management Software: Everything You Need to Know Before Making a Purchase Decision

ThroughPut

77% of the world’s largest ports are still facing backlogs, and that doesn’t just affect your logistics efficiency and costs, it impacts your entire supply chain and business. It’s not just about merely managing trucks and warehouses anymore; it’s about seeing the big picture (of your entire supply chain!)

article thumbnail

Handfield’s Supply Chain Analytics Predictions for 2014

Supply Chain View from the Field

I’ve had the good fortune to be presented with opportunities for compelling discussions with a significant group of leading thinkers, senior executives in procurement, logistics, and technology management over this past year. Not surprisingly, analytics is at the top of the list.

article thumbnail

The Top Five Benefits of Using Machine Learning for Demand Forecasting

Logility

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Analytical processing speed and accelerated corporate learning.

article thumbnail

Mastering Profitable Omni-Channel Logistics, Despite Disruptions

Logistics Viewpoints

As physical stores opened, shut down and re-opened again, consumers became more flexible in the way they shop for, and purchase, just about every product. As disruptive events occur along the digital thread, the entire organization can act in a fluid, connected manner to optimize costs, service levels and other outcomes.