How Brands Like Merck Use Data To Enable More Efficient Delivery

How Brands Like Merck Use Data To Enable More Efficient Delivery
Automotive

As detailed in PSFK's Last-Mile Delivery Debrief, top brands are improving their delivery process by streamlining consumer and inventory data collection and analysis

PSFK
  • 30 november 2018

Warehouses walk a tightrope between available (and declining) inventory space and avoiding the most frustrating problem for consumers—product stock-outs. To help address this challenge, retailers are leveraging data to better predict inventory needs and prevent out-of-stock inventory, as well as aptly respond to consumers’ need for speed.

These data-driven communication channels help optimize fast and responsive communication between factories, warehouses, stores and other supply chain elements. Here’s how brands are enhancing the consumer experience with faster product service: 

Milkman x WorkWave
Italian ecommerce delivery service Milkman leverages WorkWave, a logistics solutions provider, to plan routes according to data like traffic congestion and continually optimize delivery routes. After Milkman’s customers designate a delivery window at the point of checkout, WorkWave’s algorithm finds the best route and provides customers with ongoing updates.

Merck KGaA
The German pharmaceuticals firm Merck KGaA’s is planning on incorporating AI and predictive analytics throughout its entire supply chain by the end of 2019. Currently, the firm is conducting a pilot program that uses analytics software from Aera Technology Inc. to predict demand spikes, identify bottlenecks and alleviate supply shortages for 100 products. The software collects supply chain data from Merk KGaA’s different planning systems and, after the data is uploaded to Aera’s cloud infrastructure is analyzed by machine learning algorithms. These algorithms provide recommendations like supply adjustments or demand forecasts.    

Zara
The Inditex-owned fast-fashion brand applies an intricate process of data collection across its omnichannel retail model to ensure garments are designed with customers in mind. Not only does the retailer ask its in-store employees to report on popular sales and customer feedback, but Zara also mines quantitative data daily to discern customer preferences. This information is then sent to Zara’s 300-person design team, who create the items in 21 days or fewer.

These are just a few examples of how brands are utilizing data communication to enable seamless delivery to consumers, an area of increasing importance to drive value. For more examples visit PSFK’s Last Mile Delivery Report. 

Warehouses walk a tightrope between available (and declining) inventory space and avoiding the most frustrating problem for consumers—product stock-outs. To help address this challenge, retailers are leveraging data to better predict inventory needs and prevent out-of-stock inventory, as well as aptly respond to consumers’ need for speed.

+analysis
+Automotive
+data
+Delivery
+Delivery & Logistics
+Features
+Health
+last mile delivery
+last-mile-delivery-debrief
+merck
+milkman
+post purchase support & service
+report
+retail
+Shopper education & assistance
+technology
+Transactions & Payments
+workwave
+zara

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