Supply chains use four big trends in big data

In recent years, large data become a fashionable word, is also very important application of supply chain industry large data, using a large data set analysis and planning, the stakeholders in the supply chain can more quickly to respond to the change of the difference in supply chain.

Supply chain services consultancy JDA company vice President of industry strategy Puneet Saxena said: “according to the technological progress and provide more information, will let us imagine again considered effective supply chain processes.”

A real-time tracking

The Internet of things (IoT) allows suppliers to track the goods that leave their shelves in real time, from warehouses to retail stores. And by big data from social networks, news, events and weather, suppliers can better predict and plan future inventory. For example, a store that makes a weekend sale can track sales in real time, not a daily inventory. Given current sales and social media reactions to promotions and potential weather events, vendors can quickly adjust their supply and warehouse delivery plans.

Until a few years ago, retailers could use ERP (enterprise resource planning system) to track orders, inventory levels, and staffing data. This information is updated daily, or updated every few weeks. But now iot sensor, satellite, radar, smart phones, social media can provide large data, ocean-going ships, trucks, planes and package the current location of the goods. Through these information, the software system know which truck is moving toward the storm area, and combining the forecast data, suppliers can adjust the forecast and send the new arrival time. If a truck is late, suppliers can resupply or expedite shipment from another warehouse.

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2 suppliers sourcing

Maintaining large data sets allows companies to more easily track their suppliers and quickly make changes.

OU Kosher monitors 8, 500 factories and produces 800, 000 Kosher certified products. To do that, they monitored 1.75 million components. When a factory under the supervision of lost Kosher certification, OU Kosher company immediately remind those using the affected raw materials enterprise, because continue to use unqualified products. They can also tell the facilities to use the due date of the affected raw materials and provide available alternatives from their database.

3 customer segmentation

By using customer data, retailers can segment buyers and markets, offering customized products and services.

Software can help companies segment customers into characters and customize the supply chain through buying habits, such as early adopters or valuable customers. Using big data, companies can also adjust their supply chains to provide specific items for each store that they are interested in. While this is not a new concept for retailers, there is a lot of information available through big data that can be parsed more concretely.

Use big data wisely

While big data is important, it should not be the overall decision maker. Supply chain is still by the staff of the business, the data is not in the middle of the night to call the suppliers of the enterprise, the data won’t be restocked shelves, although the data may provide insight for the enterprise. Big data now has some hype, but it exists to drive the value of all supply changes.

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