Agentic AI is making its way into the retail and ecommerce experience
Walmart last week unveiled Sparky, a genAI-powered shopping assistant embedded into the Walmart app. The new AI assistant, Sparky, isn’t just another chatbot bolted onto an app. It’s part of a much bigger plan to use autonomous agents to transform how people shop.
From Shopping Assistant to Agent
Right now, Sparky can summarize reviews, compare products, suggest items for occasions such as beach trips or birthdays, and answer real-world questions such as what sports teams are playing.
In the coming months, additional features will include reordering and scheduling services, visual understanding that can take image and video inputs, and personalized “how-to” guides that link products with tasks such as fixing a faucet or preparing a meal.
Sparky isn’t designed to just answer product questions. It can act.
If you’re planning a cookout, Sparky won’t just list grill options. It’ll check the weather, suggest menus, and help schedule delivery. If you’re reordering household supplies, it remembers preferences, checks stock, and confirms shipping options.
The idea is to reduce friction and turn shopping from a search problem into a service experience.
What Walmart’s Data Shows About Changing Customer Preferences
According to Walmart’s own research, consumers may be more ready for the shift to agentic and generative AI-powered shopping than anyone expected.
In the company’s latest “Retail Rewired 2025” report, 27% of consumers said they now trust AI for shopping advice, more than the number who trust social media influencers (24%). That marks a clear break from traditional retail playbooks. Influence is shifting from people to systems.
A core reason for the adoption of AI is that speed dominates. 69% of customers say quick solutions are the top reason they’d use AI in retail. AI’s rapid emergence at the core of ecommerce transactions from LLM chats to embedded applications is clear.
Some of Walmart’s internal research results are genuinely surprising. Nearly half of shoppers (47%) would let AI reorder household staples, but just 8% would trust an AI to do their full shopping without oversight. 46% say they’re unlikely to ever fully hand over control. Likewise, data transparency matters. Over a quarter of shoppers want full control over how their data is used.
So, Sparky isn’t meant to replace human decisions. It’s meant to take care of the repetitive stuff, and ask for help when the stakes are higher.
Why Now? Retail is making a leap
Competitors like Amazon, IKEA, and Lowe’s are also racing to launch AI assistants. But Walmart is going further. It’s building a full agent framework, not just customer-facing bots.
Sparky’s promise goes beyond convenience. Where recommendation engines once matched products to past clicks, Sparky looks to understand intent in context. If you say, “I need help packing for a ski trip,” Sparky should infer altitude, weather, travel dates, previous purchases, and even airline baggage limits to propose a bundle, jacket, gloves, boots, and all.
This leap requires multimodal AI capabilities including text, image, audio, and video understanding. Imagine snapping a photo of a broken cabinet hinge and getting the right part, DIY video, and same-day delivery. That’s the Sparky roadmap.
Walmart is also developing its own AI models, rather than relying solely on third-party APIs like OpenAI or Google Gemini. According to CTO Hari Vasudev, internal models ensure accuracy, alignment with retail-specific data, and stricter control over hallucination risks.
Why Agentic AI Could Become the New Retail OS
The retail industry is saturated with automation at the warehouse and logistics layer, but AI agents at the consumer-facing layer are still new territory.
Sparky might be the first mainstream proof of concept. But the real story is the architecture: a system of purpose-built, task-specific agents that talk to each other across user journeys, all tuned for high-volume retail complexity.
That’s a blueprint other enterprises will want to study, and possibly copy.
What Could Go Wrong?
With greater autonomy comes greater risk. Will Sparky recommend the wrong allergy product? Will it misread an image and send the wrong replacement part?
Walmart is trying to stay ahead with built-in guardrails: human-in-the-loop confirmations, user approval on sensitive actions, and transparency around how data is used.
But the challenge will scale. Sparky’s real-world performance, not its launch sizzle, will determine if customers trust it to become a permanent fixture in their shopping lives.
Walmart’s AI push is part of a larger shift happening across the company. It recently partnered with Wing to launch drone delivery in the Dallas-Fort Worth area, aiming to serve up to 75% of local customers in under 30 minutes.
Internally, it introduced Wally, a tool that helps merchants manage product listings and run promotions using plain language, no technical training required.
At the same time, Walmart has recently laid off 1,500 tech and corporate employees, a sign that automation is already reshaping how teams are structured. These changes aren’t isolated. They reflect a broader effort to rebuild Walmart’s day-to-day operations around AI-driven systems.
Walmart’s Sparky is the company’s most aggressive bet yet on autonomous digital agents. The trust delta between AI and influencers may seem small now, but it will only widen.
Sparky handles shopping. Wally helps merchants. Internal systems assist associates. It’s a top-to-bottom AI rollout. The underlying implication? E-commerce interfaces are about to go away. Instead of clicks and filters, shopping becomes a dialogue.
