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For decades, brands have spent considerable time deciding where their products should be sold. Retailers were selected based on location, reputation, presentation, clientele and their ability to represent the brand in the right environment. In selective distribution, the choice of point of sale has always helped shape how a product is presented and experienced, while ensuring that it is represented in an environment consistent with the brand.
The digital presence of those retailers is an integral part of that equation. How an authorised retailer presents a brand online, the quality of its ecommerce environment, the accuracy of its product information and its digital visibility all contribute to how effectively it represents the brand. What may now be changing is not the importance of digital presence itself, but who, or what, is interpreting it.
AI will add another layer to how consumers navigate the retail landscape. Instead of visiting several websites, comparing retailers and deciding which seller to trust, a consumer may increasingly be able to delegate much of that process. An AI agent can search, compare and interpret available options according to the criteria the consumer provides. Those criteria may be very different from the criteria a brand uses when selecting retailers for its authorised network. As a result, being part of that network does not necessarily determine which seller the agent identifies.
That difference matters. The agent may find strong indicators of seller credibility without that seller being part of the brand’s authorised network. A professional website, positive reviews and established customer service can all contribute to that assessment, while saying nothing about whether the seller was selected by the brand. Nor does it automatically understand why a brand selected one retailer rather than another. It sees a market of available offers and interprets that market according to the task it has been given. Unless the consumer makes authorised status relevant to that task, there is no reason to assume that the agent will limit its search to the brand’s authorised network.
Supply outside authorised retail networks existed long before AI and is already easy to find online. The potential change lies not simply in making that supply visible, but in how efficiently AI can compare and interpret it on behalf of the consumer. A conventional search still leaves the consumer to investigate different sellers and weigh the available options. An agent can increasingly do part of that work for them. Alternative supply may therefore no longer be something the consumer merely encounters during a search, but something a system actively identifies as relevant according to the criteria the consumer has set.
That could have consequences for the role of selective distribution in the consumer journey. A brand can carefully select which retailers belong to its authorised network, but an AI agent acting on behalf of a consumer is not limited to that selection. It can search and interpret the wider market according to the criteria it has been given. The consumer no longer necessarily has to navigate the differences between sellers themselves; they only need to trust the agent enough to act on its interpretation of the available options.
For brands built around selective distribution, that distinction could become increasingly important. It may also turn what appears to be a question about AI into a broader question about distribution strategy. Carefully selecting where and how a product is represented remains important, but so does the structure through which it reaches the market. If AI increasingly helps consumers decide where to buy, the effectiveness of a distribution strategy may therefore depend not only on which retailers a brand chooses to authorise, but also on how the products it supplies ultimately become available across the wider market.
