How Will AI Assistants Change the Food Delivery Industry? The Era of Commission-Free Ordering
Originally published in Turkish. Read the original →

New ChatGPT-based startups are getting ready to shake the business model of giants such as DoorDash, Uber Eats, Yemeksepeti, GetirYemek and Trendyol Go to its core by letting users order directly from restaurants without paying high commissions to intermediary platforms.
Coming home from work in the evening, opening the food delivery apps on your phone one by one, comparing menu prices, trying coupon codes and, when you reach the checkout screen, facing a cart total much higher than the original sticker price: this scenario has become a familiar routine for everyone. However, as generative AI assistants and autonomous agents (AI agents) become part of everyday consumer habits, the intermediary model that has dominated the online food delivery ecosystem for decades is facing the biggest structural test in its history.
New infrastructures that let users send orders directly to restaurants through assistants like ChatGPT using nothing but natural-language commands directly threaten the high-commission revenue architecture of traditional marketplace giants such as DoorDash, Uber Eats, Yemeksepeti, Trendyol Go and GetirYemek.
A Direct Ordering Model Against the High-Commission Squeeze: The Bites Example
In return for bringing restaurants and consumers together under the same digital roof, traditional food delivery platforms charge businesses commissions ranging from 15 to 30 percent per order. On top of that, restaurants that want to rank higher in in-app search and gain visibility have to set aside additional budgets for advertising and sponsored listings. To protect their profit margins, businesses are forced to pass these intermediary costs directly on to menu prices.
Bites, a startup operating in the San Francisco Bay Area with a lean team of about 10 people and already bringing around 300 restaurants into its network, stands out as one of the most concrete examples of breaking this cost spiral with AI. The startup, whose team includes experienced industry names such as Grubhub co-founder Matt Maloney and CEO Bala Subramaniam, passes orders directly into the restaurant's own system instead of routing them through a third-party delivery marketplace.
The key points where the Bites model differs from traditional platforms are:
- Direct Transmission via ChatGPT Integration: Users can create an order within seconds from businesses in the Bites network using the ChatGPT interface, and the request goes straight to the restaurant.
- Flat $1 Service Fee: Instead of percentage-based commission cuts, only a flat fee of $1 is charged per order. This small fee is usually paid by the customer, while some businesses cover the cost themselves to build customer loyalty.
- Turning Existing Preferences Into Economical Orders: Rather than making people discover restaurants from scratch, the system aims to let consumers who have already decided what to eat order at the best price without paying an intermediary commission.
A $14 Cost Difference on a Single Order
How intermediary commissions and platform service fees are reflected in the consumer's bill becomes clear in real-time cart comparisons. A standard pizza and drink order placed through ChatGPT using the Bites infrastructure comes to $56.73 with tax, tip and courier delivery fees all included.
When the exact same cart is ordered through DoorDash, the total bill climbs to $70.29. This difference of about $14 on a single order clearly shows why the expensive intermediary layer offered by traditional platforms is being questioned in today's world, where consumers have already become used to ordering online. As Matt Maloney also emphasized, the cost structure of platforms that once made huge marketing investments to convince consumers to order food online is losing its sustainability for both restaurants and customers in a now mature market.
The Picture and Regulatory Pressure in Turkey's Food Delivery Market
The AI-based direct ordering wave emerging globally carries even more critical meaning for countries like Turkey, where the market volume is very large and the commission debates remain heated. Data from the Outlook of E-Commerce in Turkey 2025 report published by Turkey's Ministry of Trade in May 2026 reveals the economic weight of the sector in all its starkness:
- Turkey's overall e-commerce volume grew by 52.2 percent in 2025 compared to the previous year, passing the 4.5 trillion TL mark, and the total number of transactions reached 5 billion 940 million.
- In the sectoral breakdown of businesses operating in the e-commerce ecosystem, the food sector ranked first with a 20.3 percent share.
- The online food ordering market alone generated a massive economic volume of 270.16 billion TL.
The market's growth to this extent has also put commission and extra service fee disputes between restaurants and platforms on regulators' radar. Under new rules put into effect by the Ministry of Trade on April 13, 2026, platforms are required to show the fees they charge businesses transparently, item by item. In addition, charging extra fees for receiving orders, forwarding them to the restaurant, the payment infrastructure and core intermediary processes was banned, and participation in campaigns and advertising was required to be entirely voluntary.
Although there is not yet a widespread integration in Turkey for placing orders directly with local restaurants through ChatGPT or similar AI assistants, the current tension over high commissions and the tightening regulations show how open the local market is to low-cost AI alternatives.
A New Era in the Customer-Restaurant Relationship: AI Discovery and the iMessage Move
The biggest value proposition traditional ordering apps offered restaurants was customer discovery and a storefront advantage based on user reviews. Thanks to in-app ads, businesses could appear on the screens of consumers who had never tried them before. However, the shift of the ordering process to AI assistants has the potential to fundamentally change this advertising economy as well.
When users order from their favorite restaurants directly through AI agents, the importance of in-platform sponsored listings will decline rapidly. On the other hand, when a consumer tells an AI assistant "Recommend a highly rated burger place near me that delivers fast", which restaurant the language model highlights and by which algorithmic criteria will create a new field of competition in the industry.
Current market leaders are not just watching this transformation either. DoorDash is preparing to roll out its own AI integration that lets users place orders within seconds and repeat past orders by typing natural-language commands in iMessage. This move proves that the big platforms are also starting to leave app screens behind and move to chat-based interfaces. But the real deciding factor will be whether restaurants keep paying commissions as high as 30 percent in the age of AI.




