Generative AI implementation in Food Delivery App Market Trends, Impacts, and Challenges
Vibe Checks: Generative AI in Food Delivery
Generative AI implementation in Food Delivery App Market Trends, Impacts, and Challenges
The ChatGPT, AI hype has turned “launch a Gen-AI feature” into a board-room mandate for ALL kind of businesses. The results have been mixed-feelings. Some ideas have huge potential while some are used as a marketing tagline and some ended up as “scam techs”.
To my curiosity, how about Food delivery platforms ? The business that has been using AI and Machine Learning in almost every bit of the operations such as demand forecasts, courier dispatch logic, ETA calculation, surge pricing, fraud flags, customer feed suggestion, etc, How will they react to the AI hype. How much can Generative AI add value for them ? Will there be more use case than customer support chatbots?
Let’s explore together how global and Southeast-Asian players are vibing the hype, what are the ideas implemented, what are the results:
Global Vibes: Gen AI at a Global Scale
Major food delivery platforms worldwide are rapidly adopting generative AI across their operations, showing promising results in automation and customer experience enhancement. Key implementations include:

- Menu and dish copywriting. Uber Eats now auto-generates descriptions for every catalogue item, eliminating “no copy” gaps and lifting click-through on dish pages. GrabFood does the same for Southeast-Asian merchants, compressing hours of manual typing into minutes.
- Visual up-selling. Swiggy’s “AI-Fuelled Photoshoot” turns a phone snapshot into studio-grade food photography; early adopters see up to 5× more orders on pictured items. Delivery Hero mass-produces appealing yet accurate images across 70+ markets, using guardrails to catch weird AI artifacts before they go live.
- Conversational discovery. Instacart’s “Ask Instacart” answers meal-planning questions (“vegan dinner under 30 min”) and adds the right items to the basket. In MENA, talabat AI chats in English and Arabic, turning a recipe request into a pre-filled grocery cart.
- Review and feedback mining. Uber Eats digests thousands of customer reviews and pushes a one-page AI summary to merchants so they can fix issues fast and double-down on what works.
- Customer service at scale. DoorDash runs a generative-AI contact-centre that handles hundreds of thousands of voice or chat tickets daily in roughly 2.5 seconds, slashing support costs and improving resolution times.
- Voice ordering (Deprecated). DoorDash’s AI phone bot briefly answered missed restaurant calls and suggested add-ons, showing promise but the pilot was rolled back in mid-2025.
Region Vibes: How Southeast Asia Adopted Generative AI

Southeast Asian platforms have implemented similar AI solutions to global players, with adaptations for local languages and market conditions. Notable implementations include:
- Grab / GrabFood. Merchant Menu Assistant converts a single photo of a paper menu into a fully structured digital list (titles, prices, descriptions). The result: menu onboarding drops from hours to minutes, letting micro-restaurants go live quickly. Internally, introduced “Jarvis”, AI assistant that helps account managers explore difficult databases so they can make better data-driven decision without writing the SQL.
- Gojek / GoFood. Dira — a Bahasa Indonesia voice assistant built on Gemini 1.5 Flash, which already books loans in GoPay and will soon be able to handle “Order ayam geprek” requests inside GoFood. The goal: hands-free discovery for millions of users outside tier-one cities.
- Shopee / ShopeeFood. Shop AI Assistant sits inside Seller Centre, auto-replies to buyer chats, recommends bundles, and tracks orders. Early sellers report faster responses and higher conversion without extra CS staff.
Vibing: Conceptual Generative AI Features
Here are some AI ideas that are were mentioned but not live yet.
- AI meal planners that blend grocery baskets with prepared-food orders, extending customer lifetime value across both verticals.
- AI-designed virtual dishes cooked in ghost kitchens — filling niche demand without inventory risk.
- Agentic operations where AI tweaks fees, courier supply, and prep times on the fly, aiming to shrink ETAs and subsidies.
Impact Analysis: What’s Working and What’s Not
Early adoption data shows mixed results, in some domains of works there are clear successes while concerns over AI safety and quality still apply
Successes:
- Content Creation: the AI mulit-modal capabilities make it useful for all kinds of content, copywriting, images. Swiggy’s AI photoshoot drove up to 5x better conversions
- Process Optimization: Grab reduced onboarding time from hours to minutes, enabling more number of merchants that can be onboarded
- Customer Support: hundreds of thousands of daily inquiries taken care by AI at DoorDash with 92% satisfaction and fast response times.
Challenges:
- Authenticity Concerns: customer trust issues towards AI-generated images, questioning its accuracy and truthfulness
- Output Reliability: DoorDash discontinued its AI voice ordering pilot in mid-2025 due to unresolved quality issues
- **QC Costs: **due to quality issues, there could be additional costs to QC the AI outputs. Delivery Hero & Swiggy allocated resources to oversight
Bottom Line
The implementation of Generative AI in food delivery demonstrates that its benefits are both tangible and still largely untapped. In Southeast Asia, where there is remarkable diversity in languages, cuisine types, and dish names, the industry is especially well-positioned to benefit a lot from Gen AI for enabling smoother merchant operations and smarter customer interactions. As AI models continue to improve rapidly, even more innovative and unforeseen applications are likely to emerge, further introducing to more exciting changes.
Sources:
- techcrunch.com — eBay rolls out tool that generates listings from photos
- shopify.com — AI-Generated Product Descriptions with Shopify Magic
- packtpub.com — Alibaba introduces AI copywriter
- timesofindia.indiatimes.com — How Swiggy, Zomato, Myntra use Gen AI
- digitalcommerce360.com — AI in E-commerce 2024 Recap
- deliveryhero.com — Talabat’s ChatGPT Grocery Assistant
- instacart.com — AI-Powered Search in Instacart App
- pymnts.com — DoorDash Testing AI Chatbot
- foodinstitute.com — AI Chatbots in Food Delivery Apps
- analyticsindiamag.com — Zomato Can Learn Gen AI from Swiggy
- blog.swiggy.com — AI-Fueled Menu Photoshoots
- zilliz.com — Safety for AI-Generated Images at Delivery Hero
- aws.amazon.com — DoorDash AI Contact Center
- openai.com — Uber Enables AI Experiences
- grab.com — Grab’s AI Product Innovation
- businessoffashion.com — Future of E-Commerce with Gen AI
- bangkokpost.com — Grab Looks to AI for New Features
- sellercentral.amazon.com — AI Hallucination & Return Issues