From Clicks to AI Shopping Bots: What Agentic Commerce Really Is
Agentic commerce is a fancy way of describing something simple: AI shopping bots doing the online shopping work for you. Instead of you opening Shopee, Lazada or a brand’s website, comparing prices and reading reviews, an AI assistant can do this in the background. You might just say, “Find me the best deal on chocolate biscuits, deliver by Friday,” and the bot will search, compare and even complete checkout. Unlike today’s basic chatbots, these agents act more like digital personal shoppers. They can understand preferences, budgets and delivery needs, then negotiate complex e-commerce systems to place orders. Mondelez’s leadership calls this a “fundamental shift in commerce” from browsing channels and clicking links to relying on intelligent agents that guide decisions, discovery and transactions. For everyday shoppers, the promise is convenience and time savings — but it also means algorithms, not ad banners, will increasingly decide which brands end up in your basket.
Inside the Mondelez AI Strategy: A Global Lead for Shopping Bots
Mondelez, the company behind Oreo, Cadbury and Sour Patch Kids, is reorganising around this shift by hiring a global lead of emerging commerce platforms with agentic commerce as the primary focus. The role, originally posted in February, is designed to shape global strategy, run pilots and build a scalable playbook for how AI shopping bots will affect sales and marketing. This is not a small experiment. Mondelez executives describe agentic commerce as a fundamental change in how people shop, and retailer partners are already predicting that around 30% of their site traffic could be agentic within a few years. Consulting estimates suggest the global market size for agent-driven shopping could reach into the trillions. For a fast-moving consumer goods giant, that is enough to justify new senior leadership, new budgets and direct collaboration with e-commerce platforms and tech companies to ensure its brands are easy for AI agents to discover, understand and recommend.
How AI Ecommerce Assistants Will Reshape Discovery, Marketing and Loyalty
As AI shopping bots mature, they will increasingly handle product discovery, price comparison and even basket building, turning today’s search results pages into back-end infrastructure for agents. For marketers, this changes everything. Instead of optimising for human attention through flashy ads and promo banners, brands will need to optimise for machine attention: clear product data, transparent ingredients, reliable availability and strong ratings that AI can parse quickly. Digital marketing will shift from “eyeballs and clicks” to being featured in the shortlists generated by AI ecommerce assistants. Promotions and loyalty strategies may become more personalised, with bots automatically applying vouchers, subscriptions or bundle deals that best match a user’s habits. Brand placement will also move deeper into logistics and inventory decisions, as platforms prioritise products that can be fulfilled quickly and consistently. In this world, winning the algorithm’s trust could matter as much as winning the shopper’s heart.
What Agentic Commerce Could Mean for Shopee, Lazada, TikTok Shop and Malaysia
For Southeast Asia and Malaysia, where mobile-first shopping and super-promotions dominate, agentic commerce could be especially disruptive. Regional platforms like Shopee, Lazada and TikTok Shop may need to expose cleaner product data, stock information and delivery timelines so third-party AI agents can reliably shop on users’ behalf across multiple marketplaces. Their competitive edge may shift from eye-catching flash sales to being the easiest environment for bots to navigate and fulfil orders. On the back end, the same forces driving warehouse automation globally — such as high-density racks and micro-fulfilment setups in e-commerce distribution centres — will intensify as agent-driven orders increase volume and complexity. Retailers, brands and logistics partners in Malaysia will likely invest more in automation, inventory optimisation and shared data standards so AI agents can confidently route orders to the most efficient fulfilment options, whether that is a regional warehouse, dark store or quick-commerce hub.
Privacy, Transparency and How Consumers Will Meet AI Shopping Assistants
For consumers, AI shopping bots will show up in familiar places: inside search engines, messaging apps, super apps and e-commerce platforms. You might see them as upgraded chat assistants, voice interfaces or background services that manage subscriptions and re-orders. However, their rise raises practical questions. Shoppers will want to know whose interests the agent truly serves: the user’s, the platform’s or a particular brand’s. Privacy will be critical, because agents need access to purchase history, preferences and even location to be useful. Clear disclosure about what data is used, and the ability to turn features on or off, will help build trust. Transparency in recommendations will also matter: why a certain biscuit, coffee or snack was chosen over another. As companies like Mondelez invest in agentic commerce, regulators and platforms in Malaysia and the wider region will be pushed to set standards that protect users while still allowing innovation in online shopping automation.