While Amazon leans into AI for precision and defect prevention, Walmart entrusts vendor talks to automated chatbots—each retail giant reshaping logistics in its own image.
June 08, 2024 — Saturday — Ecommerce North America
As Amazon and Walmart vie for retail supremacy, both giants are leveraging generative artificial intelligence (GenAI) to streamline their supply chains, reduce costs, and boost profitability.
Amazon’s AI Innovations: Project P.I.
Amazon recently announced its latest AI-driven initiative, Project P.I., which aims to reduce product returns by detecting defects before items are shipped. The system employs a combination of generative AI and computer vision to scan products for issues such as incorrect size, color, or damage. This proactive approach helps prevent defective items from reaching customers, thereby improving the shopping experience and reducing waste.
Dharmesh Mehta, Amazon’s Vice President of Worldwide Selling Partner Services, highlighted the benefits of this technology: “By leveraging AI and product imaging within our operations facilities, we are able to efficiently detect potentially damaged products and address more of those issues before they ever reach a customer, which is a win for the customer, our selling partners, and the environment.”
Amazon plans to expand Project P.I. to more sites throughout the year, building on its success in several North American fulfillment centers. The system not only identifies defective products but also investigates the root causes of issues, enabling preventive measures to avoid future defects. This contributes to Amazon’s sustainability efforts by reducing unnecessary packaging and transportation, thereby minimizing carbon emissions.
Walmart’s AI-Powered Vendor Negotiations
Walmart, on the other hand, is utilizing AI to streamline vendor negotiations. Earlier this year, the retail giant began using a chatbot from Pactum AI to automate and expedite these negotiations. By inputting budgetary constraints and business goals, Walmart allows the chatbot to handle the negotiations, significantly reducing the time required to finalize agreements.
Darren Carithers, Walmart’s Senior Vice President for International Operations, noted the efficiency gains from this technology: “We set the requirements and then, at the end, it tells us the outcome.” The chatbot has shortened negotiation times from weeks or months to just a few days, enabling Walmart to operate more efficiently and focus on other strategic initiatives.
Broader Implications of Generative AI
The impact of generative AI extends beyond Amazon and Walmart. According to the PYMNTS Intelligence Working Capital Tracker, 84% of business leaders believe that generative AI will positively impact their workforces. Zohar Bronfman, CEO and Co-founder of Pecan, emphasized the capabilities of large language models in enhancing human interaction, data accessibility, and decision-making processes.
