This is a great example of a successful AI implementation. It's targeted, transformational, and trustworthy. DoorDash launched their new AI Assistant today. Like our BargeOps Assistant, the key UVP is transformed navigation i.e "stop scrolling".    You tell the bot what you're looking for ("Asian food for a family of 4") and it surfaces options. The human in the loop helps refine searches ("nothing too spicy"), before the bot builds the cart. Human input is required for payment creating the ultimate HITL gate where its most valuable.

We hear a lot about how AI helps companies gain efficiency. How about an AI win for our consumers and merchants?

DoorDash just dropped the AI mic: a chatbot called Ask DoorDash that lets you order by prompts and pics. No more endless scrolling—tell it you want a 'filling family dinner' or drop in a recipe photo, and it builds your grocery cart with exact quantities. It even reorders last trips or suggests new items based on your history. For reservations, ask for 'a table for two downtown at 8' and it surfaces options. It’s rolling out on iOS in select regions and expanding soon. So yes, your fridge may start ghost-writing your shopping list. But hey, if convenience is king, this is the crown. 🔥🚀🤖🍜🛒✨ #DoorDashAI #AskDoorDash #AIordering #FoodTech #GroceryShopping #CartAssistant https://lnkd.in/dyUANSsR Created By LastPosty http://lastposty.com https://lnkd.in/dMMtyzFd

Could your customers soon shop your business just by describing what they want? DoorDash has launched an AI chatbot that lets people order food and groceries in plain language. Here's what happened: DoorDash new assistant, Ask DoorDash, lets customers type or photograph what they want instead of scrolling through restaurants and stores. You can share a recipe link or a photo of a grocery list and it builds the cart, or ask for a filling dinner for a family of four and it suggests options. Uber Eats and Instacart have rolled out similar shopping assistants, signalling a wider shift. Why this matters for your business: Customers are being trained to shop by conversation, describing a need rather than browsing a catalogue. If people start expecting that everywhere, businesses that still force customers through menus and search boxes may begin to feel dated and harder to buy from. The number that stands out: three. The number of major delivery players, DoorDash, Uber Eats and Instacart, now letting customers shop by simply describing what they want. Get the weekly AI brief built for business leaders, not tech teams: https://lnkd.in/eB6xT9Cd #AIinBusiness #CustomerExperience #Retail Source: TechCrunch, 11 June 2026 https://lnkd.in/efz_AYNS

The cart is becoming a conversation. DoorDash just launched Ask DoorDash, a shopping assistant that builds a grocery cart from a recipe link, a cookbook photo, or a plain-text description like "healthy dinner for four under $40, no chicken." Real inventory, real-time. Agentic AI is changing how people discover and shop for products. The brands showing up in those carts will be the ones who planned for this. Worth the read 👇 https://lnkd.in/eDtuqHJz

on DoorDash's new chatbot and some implications DoorDash’s chatbot is not really about chat. It is about moving from search to intent capture. In the old app model, the user had to know what they wanted (e.g., “pizza,” “Thai,” “bananas,” “milk”, etc). DoorDash then ranked supply, sold sponsored placement, and monetized the transaction. Ask DoorDash changes the interface from a keyword box into a decision layer ... “I’m going to Lincoln Center, I need a table for two, around 8:30" or “I want to cook pasta tonight, what do I need?” The screenshots in the article show exactly this. The chatbot interprets context, recommends restaurants, shows reservation times, and inserts DoorDash credits directly into the recommendation flow. That matters because the scarce resource in delivery is not restaurants or groceries, but rather demand formation. DoorDash already has menus, stock data, delivery infrastructure, payment, purchase history, and merchant relationships. AI gives it a way to convert all of that into a higher-level consumer assistant. The implications are bigger than food delivery. DoorDash says early tests showed nearly half of takeout orders made through the tool came from restaurants the customer had never used before, grocery carts were built five times faster, and baskets were more than 35% larger than typical orders. That is the business case. AI is justified if it increases discovery, basket size, conversion, and frequency. The next step is enterprise, where DoorDash wants to sell this technology to grocers, restaurants, and retailers as white-label agentic infrastructure, competing with Instacart and others. But this also creates the strategic tension. DoorDash’s traditional search monetization depends on sponsored listings, while AI recommendations feel more like trusted advice. Once the assistant becomes the interface, ads have to become native to intent rather than bolted onto keywords. The company that wins is the one that controls the demand layer and not “where do I order from?” but “what should I do tonight, what should I eat, what should I buy, and who should fulfill it?”. That is a much bigger market than delivery.

DoorDash is bringing #artificialintelligence deeper into the user experience, allowing customers to order food and make reservations with photos and prompts. https://cnb.cx/43BupLl CNBC

DoorDash is bringing #artificialintelligence deeper into the user experience, allowing customers to order food and make reservations with photos and prompts. https://cnb.cx/43BupLl CNBC

DoorDash is bringing #artificialintelligence deeper into the user experience, allowing customers to order food and make reservations with photos and prompts. https://cnb.cx/43BupLl CNBC

DoorDash is bringing #artificialintelligence deeper into the user experience, allowing customers to order food and make reservations with photos and prompts. https://cnb.cx/43BupLl CNBC