Purchasing agents AI, once a combination of novelty and hype, become a viable sales channel of electronic trading.
Last month, Google and Stripe announced new tools for processing and payments for AI.
Standards
Agent Agent Agent Agent Agent Agent and Agipe Agencies) offer a grade of transaction standards for agents.
This standard deals with concerning the conversion of the discovery of controlled AI into sale while maintaining payments in safe and justified payments.
For example, how does a trader know if a person allowed AI AI to buy? Who is responsible if the buyer challenges it?
Once the new AI shopping becomes a reality for consumers.
AP2 Google
AP2 is trying to answer these questions. The protocol provides a framework for verifying and verifying the AI transactions, allowing banks, traders and consumers to trust the result.
The solution uses what Google has called digital mandates with verifiable login information.
The mandate is a digital contract between the buyer and its agent AI. She proves what she asked the agent to do and under what conditions. This mandate then becomes evidence that traders and payments can rely on if it questioning the transaction.
For example, AP2 documents a mandate by saying the AI interface to buy a few blue running shoes size 10. AP2 could therefore be the basis of the agency that payment networks, regulators and retailers can accept as legitimate.
Stripe’s ACP
While AP2 focuses on confidence and authorization, Stripe’s Commerce Protocol Agenti Agencies focuses on transforming conversations into transactions. The act provides traders a way to present products, prices and information about the cash register in format usable agents AI.
Behind the scenes, Stripe gives shared payments to the payment information from Agent AI to the merchant without revealing the buyer’s credential. The order itself flows into the merchant backend through an act to be accepted and met, as any other electronic trading order that the buyer can return later.
Stripe launched ACP along with immediate cash register in Chatgpt. The first participants are Etsy sellers based in the USA. Shopify traders are expected to follow. The buyer asks Chatgpt for recommendations, chooses the product and completes the payment through the cash register driven lanes without leaving the chat.
Consequences
New technologies often create opportunities and challenges. For traders, the agent store is no exception.
A promising opportunity can consist in latent demand. Shoppers sometimes want to buy a product but the item is in stock, too expensive or takes too long to send. Simple search does not lead to sale.
The AI shopping agent could look for tens or even hundreds of sales and feeds and identify the right product at the right price that the consumer would otherwise miss. This solves latent demand.
Immediately comparing prices, transport rates and the availability of the product across many merchants create intensive competition. That’s a challenge.
This could even lead to the pressure of the platform where traders are present on multiple channels – Etsy, Shopify, Amazon, Ebay and others – for access to dozens of AI shopping portals.
Marketing permits
Imagine a shopper inviting AI AI to “look for noise headphones less than $ 200, and buy them if they sell on black Friday.”
The agent monitors products, confirms prices and automatically makes purchases. The scenario – AI shoppers for man – is futuristic, but is also known for the old ones.
Seth Godin in his 1999 book “Marketing Marketing: Traveling foreigners into friends and friends”, “he said that marketing interruptions – television advertising, advertising, e -mail promo – loses its effectiveness.
Shoppers who allowed traders to make purchases for their name were Godin’s final example of trust.
Agency
The agent trade is most likely to depend on the same foundation that Godin described before the generation: confidence and consent.
The key will be how electronic trading businesses react when algorithms are programmatically selecting and buying products.
Marketing permits, such as an e-mail, forced traders to re-evaluate customer relationships. Similarly, the agent trade may require traders to prove reliability, value and transparency.
Success can be less dependent on who has the most interesting showcase and others that traders provide the purest data, the most fair prices, and the most fragrant fulfillment for AI agents to recognize agents.