Since bar code is scanned so often, it makes sense to also analyze the many other information that is found on bar codes. I am talking more than just the country code, GTIN and so on.
I am talking about expiry dates, pricing information, batch and other information that can be found on say, a GS1 Databar. It is scanned to track product and location anyway. Analytics on remaining stock on warehouse can highlight expiring items, a cheaper priced product remaining, or what weight of product is not sold. The supply chain partner can then react quickly to the information to reduce mark-downs and expired products.
A list of AIs can be found at http://www.databar-barcode.info/application-identifiers/
Active analysis of bar code information and action will help transshipment hubs like Singapore add value to our partners.
This blog covers new pull supply chain responsiveness and logistics concepts for hubs with good air and sea-freight connectivity like Singapore. Big data and web analytics are creating new demand opportunities, and help operations meet growing global regulatory standards. Very often, my work also involves helping online retailers improve operations. Discussions spans from raw materials serialization, to manufacturing, marketing and sales. Visualization and analysis techniques are also shared.
Friday, June 15, 2012
Analyzing Application Identifiers (AI) For More Efficient Transshipment Flows
Labels:
AI,
application identifier,
Bar code,
GS1,
Singapore,
Transshipment
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