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As supply chains become increasingly globalized they continue to share information "one-up/one-down". That's inefficient because as the supply chains lengthen they become more specialized, more fragmented and more unsustainable. Product managers scramble with inventory shortages, "bullwhip effects" and product recalls. There are hopeful signs of change. One is the increasing usage of personal mobile devices by managers and consumers seeking real-time enterprise information about materials and ingredient sources. Another is the push by the major search engines, (Google, Bing, Apple, etc.) for navigational "one answer" search using semantic technologies. Another is found in the emerging standards for interoperable information exchange at the level of key data elements. But enterprise data is a proprietary asset that must be selectively shared to be efficiently shared. Local content-addressable storage connected in the Cloud (Git, CCNx etc) is the final piece of the puzzle for flattening the "bullwhip effect". To overcome the fear factors that keep most enterprise data locked up in data silos, the globally patented Common Point Authoring™ (CPA) system critically provides selective sharing with informational objects verified by their own data.

Comme les chaînes d'approvisionnement deviennent de plus en plus mondialisés, ils continuent à partager des informations "one-up/one-down". C'est inefficace parce que les chaînes d'approvisionnement s'allongent, ils deviennent plus spécialisées, plus fragmenté et moins durable. Les gestionnaires se démènent avec des ruptures de stocks, "effets bullwhip» et les rappels de produits. Il ya des signes encourageants de changement. La première est l'utilisation croissante des appareils mobiles personnels par les gestionnaires et les consommateurs qui cherchent des informations d'entreprise en temps réel sur les matériaux et les sources d'ingrédients. Une autre est la poussée par les principaux moteurs de recherche, (Google, Bing, Apple, etc) pour la navigation recherche "une réponse" à l'aide des technologies sémantiques. Un autre se trouve dans les nouvelles normes pour l'échange d'informations interopérables au niveau des éléments de données clés. Mais données de l'entreprise est un bien propre qui doit être partagée de manière sélective à partager efficacement. Stockage adressable par contenu local connecté au Cloud (Git, CCNx etc) est la dernière pièce du puzzle pour aplatir l'effet «coup de fouet». Pour surmonter les facteurs de peur que de conserver les données plus l'entreprise enfermés dans des silos de données, le système breveté mondialement Common Point Authoring ™ (CPA) prévoit la critique partage sélectif avec des objets informationnels vérifiées par leurs propres données.


About Steve Holcombe

Unless otherwise noted, all content on this company blog site is authored by Steve Holcombe as President & CEO of Pardalis, Inc. More profile information: View Steve Holcombe's profile on LinkedIn

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Real-time, supply chain test marketing of new product lines 

Assume that a retailer, a class of beef product pre-retailers (i.e., wholesalers, processors and vertically integrated operators), and a class of consumers are all multi-tenant members of a centralized personal data store for sharing supply chain information.

I gave an example of a multi-tenant Food Recall Data Bank in an earlier blog entitled Consortium seeks to holistically address food recalls. At the time I wrote this earlier blog I vacillated between calling it what I did, or calling it a VRM Data Bank. I refrained from calling it the latter because while the technology application is potentially very good for consumers (i.e., food recalls tied to point of sale purchases) it still felt too much like it was rooted in the world of CRM. For more about the VRM versus CRM debate see The Bullwhip Effect.

Below is a technology application whereby supply chain tenants may register their CPA informational objects with permissions and other instructions for how those objects may be minimally accessed, used and further shared by and to other supply chain participants. What one then has is what may more appropriately be called a VRM Data Tenancy System (VRM DTS).

So what can one do with this architecture? How can it get started in the marketplace of solutions? A reasonable beginning point is with real-time, supply chain test marketing of new food product lines. And by supply chain test marketing, I mean something clearly more than just consumer test marketing. What I am describing below is multi-directional, feedback loop for:

  1. test marketing a new consumer product line for the purpose of driving retail sales, and
  2. concurrently generating procurement and wholesale interest and support from pre-retailers.

Assume that a retailer has been receiving word of mouth consumer interest in a particular beef product class (e.g., "ethically raised" beef products). Assume that pre-retailers have heretofore not been all that interested in raising, processing or purchasing "ethically raised" meat products for wholesale.

An initial "test market" object is authored and registered by the retailer for polling consumer interest via asynchronous authoring by individual consumers of their store outlet preferences, likely beef product quantity purchases of the new product line per week, etc. This object is revealed to a consumer class via their tenancies in the VRM DTS. The object is concurrently revealed to a class of pre-retailers via their tenancies, too. Each consumer is anonymous to the other consumers, and anonymous to the pre-retailers. Each pre-retailer is anonymous to the other pre-retailers, and anonymous to the consumers. But each consumer, as is each pre-retailer, is nonetheless privy to the consumers' real-time poll and the pre-retailers' real-time poll. The retailer watches all, being privy to the actual identities of both consumers and pre-retailers, while at the same time the retailer’s customer and pre-retailer client lists remain anonymous.

With this kind of real-time sharing of information, one can begin to imagine a competitive atmosphere arising among the pre-retailers. Furthermore, there is no reason the retailer's object could be further authored by the retailer to solicit real-time offers from the pre-retailers to procure X quantities of the beef products for delivery to identified outlets of the retailer by dates certain, in the same specific beef product class, etc. And there's no reason the "test market" object could not be further used to finalize a procurement contract with one or more pre-retailers ...

... which at the moment of execution shares real-time, anonymized information over to consumers as to dates of delivery of X quantity of beef products at identified retail outlets.

The "test market" object could be further designed for the consumer class to asynchronously provide real-time feed-back to the retailer regarding their experiences with the purchased product, and to perhaps do so even back to the pre-retailers based upon GLNs and GTINs. Depending on the retailer's initial design of the "test market" object, this consumer feedback to pre-retailers may be anonymous or may specifically identify a branded product. And, because food safety regulators are seeking "whole chain" traceability solutions, the government can be well apprised with minimal but real-time disclosures.

The dynamic business model for employing a VRM DTS includes greater supply chain transparency (increased, ironically, with consumer and pre-retailer anonymity), food discount incentives, real-time visualizations, new data available for data mining, and new product outlets for pre-retailers who have not previously provided products to the retailer. Perhaps most significantly there is the identification by the retailer of best of breed pre-retailers and loyal, committed consumers via an “auction house” atmosphere ...


... created from the sharing of real-time, sometimes anonymous information, between and among the pre-retailers and consumers.

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