Walmart Global Tech architect Vikas Mittal outlines retail AI platforms

Artificial intelligence makes understanding customer intent straightforward, but completing actual commerce transactions requires working through complex platform architectures behind the interface, according to Forbes reporting. Vikas Mittal, a principal architect building real-time AI platforms for retail enterprises at Walmart Global Tech, outlined the distinction in a Forbes publication, emphasizing that software interfaces rarely house the hardest engineering challenges in modern retail.

Large Language Models Handle Intent While Commerce Platforms Establish Truth

Large language models excel at interpreting human intent because customers can describe outcomes rather than memorizing product taxonomies or search queries. However, understanding a request differs significantly from determining what a retailer can actually sell and fulfill. The AI layer manages discovery, comparison, and reasoning, but the commerce platform must establish authoritative answers for catalog data, pricing, inventory, eligibility, fulfillment, and transactions. Mittal noted that an item appearing eligible for search does not guarantee fulfillment for a specific customer. Platforms must verify local inventory, customer addresses, fulfillment capacity, and compliance restrictions before enabling shipping, delivery, or pickup.

Distributed Systems Manage Real-Time State Challenges

Agentic commerce can appear deceptively simple on architecture diagrams, running straightforwardly from customer to AI agent, through commerce APIs, and to the transaction. In reality, distributed commerce systems rarely behave that neatly, meaning an answer correct at the start of agent reasoning can become wrong by the time a purchase happens. This technical hurdle functions as a distributed-systems problem rather than an LLM flaw. Solving it demands authoritative data sources, event-driven architectures, caching strategies, consistency models, reconciliation, resilient APIs, and observability.

AI Agents Compress Traditional Digital Shopping Journeys

AI agents alter traditional digital traffic patterns by compressing predictable journeys of search, product page, cart, and checkout into single requests. A prompt asking an agent to find a laptop under $1,200 with 16GB of memory available for same-day pickup causes the agent to evaluate multiple candidates across pricing, inventory, and fulfillment capabilities within seconds. Systems handling high-demand items like gaming consoles face simultaneous automated and human traffic competing for limited inventory. Techniques such as database- or cache-backed distributed locking protect critical inventory operations to prevent overselling.

Organizations Build Reusable Capabilities Instead of Separate Integrations

Organizations risk creating architectural inefficiencies if they build separate commerce logic for every new intelligent interface. Developing unique pricing, availability, eligibility, and fulfillment rules for every AI shopping assistant, voice agent, or autonomous purchasing system multiplies complexity quickly. Exposing reusable commerce capabilities for discovery, product context, pricing, availability, eligibility, fulfillment, and transactions allows websites, mobile applications, and AI agents to draw from the same operational foundation safely.

Idempotency Prevents Costly Errors in Autonomous AI Transactions

Reliability functions as an element of AI safety when systems move from making recommendations to taking autonomous actions. While a poor recommendation carries minimal cost, an autonomous agent placing duplicate orders, charging unexpected prices, or promising nonexistent inventory creates significant consequences. Network failures, client retries, message redelivery, and upstream timeouts can cause identical requests to arrive multiple times. Systems mitigate these issues using business-level parameters, authorization boundaries, validation before execution, audit trails, and end-to-end observability to deduplicate operations.