This website uses cookies to better the user experience of its visitors. Where applicable, this website uses a cookie control system, allowing users to allow or disallow the use of cookies on their computer/device on their first visit to the website. This complies with recent legislative requirements for websites to obtain explicit consent from users before leaving behind or reading files such as cookies on a user’s computer/device. To learn more click Cookie Policy.

Privacy preference center

Cookies are small files saved to a user’s computer/device hard drive that track, save, and store information about the user’s interactions and website use. They allow a website, through its server, to provide users with a tailored experience within the site. Users are advised to take necessary steps within their web browser security settings to block all cookies from this website and its external serving vendors if they wish to deny the use and saving of cookies from this website to their computer’s/device’s hard drive. To learn more click Cookie Policy.

Manage consent preferences

These cookies are necessary for the website to function and cannot be switched off in our systems. They are usually only set in response to actions made by you which amount to a request for services, such as setting your privacy preferences, logging in or filling in forms. You can set your browser to block or alert you about these cookies, but some parts of the site will not then work. These cookies do not store any personally identifiable information.
These cookies allow us to count visits and traffic sources so we can measure and improve the performance of our site. They help us to know which pages are the most and least popular and see how visitors move around the site. If you do not allow these cookies we will not know when you have visited our site, and will not be able to monitor its performance.
Cookies list
Name _rg_session
Provider rubygarage.org
Retention period 2 days
Type First party
Category Necessary
Description The website session cookie is set by the server to maintain the user's session state across different pages of the website. This cookie is essential for functionalities such as login persistence, ensuring a seamless and consistent user experience. The session cookie does not store personal data and is typically deleted when the browser is closed, enhancing privacy and security.
Name m
Provider m.stripe.com
Retention period 1 year 1 month
Type Third party
Category Necessary
Description The m cookie is set by Stripe and is used to help assess the risk associated with attempted transactions on the website. This cookie plays a critical role in fraud detection by identifying and analyzing patterns of behavior to distinguish between legitimate users and potentially fraudulent activity. It enhances the security of online transactions, ensuring that only authorized payments are processed while minimizing the risk of fraud.
Name __cf_bm
Provider .pipedrive.com
Retention period 1 hour
Type Third party
Category Necessary
Description The __cf_bm cookie is set by Cloudflare to support Cloudflare Bot Management. This cookie helps to identify and filter requests from bots, enhancing the security and performance of the website. By distinguishing between legitimate users and automated traffic, it ensures that the site remains protected from malicious bots and potential attacks. This functionality is crucial for maintaining the integrity and reliability of the site's operations.
Name _GRECAPTCHA
Provider .recaptcha.net
Retention period 6 months
Type Third party
Category Necessary
Description The _GRECAPTCHA cookie is set by Google reCAPTCHA to ensure that interactions with the website are from legitimate human users and not automated bots. This cookie helps protect forms, login pages, and other interactive elements from spam and abuse by analyzing user behavior. It is essential for the proper functioning of reCAPTCHA, providing a critical layer of security to maintain the integrity and reliability of the site's interactive features.
Name __cf_bm
Provider .calendly.com
Retention period 30 minutes
Type Third party
Category Necessary
Description The __cf_bm cookie is set by Cloudflare to distinguish between humans and bots. This cookie is beneficial for the website as it helps in making valid reports on the use of the website. By identifying and managing automated traffic, it ensures that analytics and performance metrics accurately reflect human user interactions, thereby enhancing site security and performance.
Name __cfruid
Provider .calendly.com
Retention period During session
Type Third party
Category Necessary
Description The __cfruid cookie is associated with websites using Cloudflare services. This cookie is used to identify trusted web traffic and enhance security. It helps Cloudflare manage and filter legitimate traffic from potentially harmful requests, thereby protecting the website from malicious activities such as DDoS attacks and ensuring reliable performance for genuine users.
Name OptanonConsent
Provider .calendly.com
Retention period 1 year
Type Third party
Category Necessary
Description The OptanonConsent cookie determines whether the visitor has accepted the cookie consent box, ensuring that the consent box will not be presented again upon re-entry to the site. This cookie helps maintain the user's consent preferences and compliance with privacy regulations by storing information about the categories of cookies the user has consented to and preventing unnecessary repetition of consent requests.
Name OptanonAlertBoxClosed
Provider .calendly.com
Retention period 1 year
Type Third party
Category Necessary
Description The OptanonAlertBoxClosed cookie is set after visitors have seen a cookie information notice and, in some cases, only when they actively close the notice. It ensures that the cookie consent message is not shown again to the user, enhancing the user experience by preventing repetitive notifications. This cookie helps manage user preferences and ensures compliance with privacy regulations by recording when the notice has been acknowledged.
Name referrer_user_id
Provider .calendly.com
Retention period 14 days
Type Third party
Category Necessary
Description The referrer_user_id cookie is set by Calendly to support the booking functionality on the website. This cookie helps track the source of referrals to the booking page, enabling Calendly to attribute bookings accurately and enhance the user experience by streamlining the scheduling process. It assists in managing user sessions and preferences during the booking workflow, ensuring efficient and reliable operation.
Name _calendly_session
Provider .calendly.com
Retention period 21 days
Type Third party
Category Necessary
Description The _calendly_session cookie is set by Calendly, a meeting scheduling tool, to enable the meeting scheduler to function within the website. This cookie facilitates the scheduling process by maintaining session information, allowing visitors to book meetings and add events to their calendars seamlessly. It ensures that the scheduling workflow operates smoothly, providing a consistent and reliable user experience.
Name _gat_UA-*
Provider rubygarage.org
Retention period 1 minute
Type First party
Category Analytics
Description The _gat_UA-* cookie is a pattern type cookie set by Google Analytics, where the pattern element in the name contains the unique identity number of the Google Analytics account or website it relates to. This cookie is a variation of the _gat cookie and is used to throttle the request rate, limiting the amount of data collected by Google Analytics on high traffic websites. It helps manage the volume of data recorded, ensuring efficient performance and accurate analytics reporting.
Name _ga
Provider rubygarage.org
Retention period 1 year 1 month 4 days
Type First party
Category Analytics
Description The _ga cookie is set by Google Analytics to calculate visitor, session, and campaign data for the site's analytics reports. It helps track how users interact with the website, providing insights into site usage and performance.
Name _ga_*
Provider rubygarage.org
Retention period 1 year 1 month 4 days
Type First party
Category Analytics
Description The _ga_* cookie is set by Google Analytics to store and count page views on the website. This cookie helps track the number of visits and interactions with the website, providing valuable data for performance and user behavior analysis. It belongs to the analytics category and plays a crucial role in generating detailed usage reports for site optimization.
Name _gid
Provider rubygarage.org
Retention period 1 day
Type First party
Category Analytics
Description The _gid cookie is set by Google Analytics to store information about how visitors use a website and to create an analytics report on the website's performance. This cookie collects data on visitor behavior, including pages visited, duration of the visit, and interactions with the website, helping site owners understand and improve user experience. It is part of the analytics category and typically expires after 24 hours.
Name _dc_gtm_UA-*
Provider rubygarage.org
Retention period 1 minute
Type First party
Category Analytics
Description The _dc_gtm_UA-* cookie is set by Google Analytics to help load the Google Analytics script tag via Google Tag Manager. This cookie facilitates the efficient loading of analytics tools, ensuring that data on user behavior and website performance is accurately collected and reported. It is categorized under analytics and assists in the seamless integration and functioning of Google Analytics on the website.

3 Popular Food Delivery Models and Real Challenges to Be Aware Of

  • 56781 views
  • 6 min
  • Sep 10, 2018
Daryna P.

Daryna P.

Copywriter

Vlad V.

Vlad V.

Chief Executive Officer

Share

Over $96 million in revenue in 2018 makes food delivery a tasty morsel for any entrepreneur. If you’ve decided to invest in this industry, though, be ready for harsh conditions: intense competition, high operating expenses, growing demands of customers, and more.

The Potential of the Food Delivery Industry

So what challenges can you expect when lauфnching a food delivery startup? Everything hinges on the business model you choose. We’ve identified three major food delivery business models and considered the pitfalls you can face. Let’s take a look at each of these models.

#1 Order only model

Food ordering apps connect customers with local restaurants and facilitate interactions between them. These apps aggregate offerings of standalone eateries that handle delivery themselves, thus helping eateries expand their market reach. For customers, food ordering platforms offer quick and easy search and order functionality. Order only platforms generate revenue by charging 7 to 15 percent commission to restaurants.

The Order Only Model

Zomato, for instance, provides users with a rich variety of filters by price, location, discounts, reviews, and more to help customers make food choices in more than 10,000 cities around the world. Otlob serves customers with an additional feature ‒ an in-app live status updater to track order progress.

Even though these platforms are highly scalable, they’re still limited in their cuisine options and price points. Yet this isn’t the biggest pitfall of the order only model.

Main challenge: creating a wide network of restaurants

Since commission is the major revenue stream for ordering platforms, they must put extra effort into reaching out to as many eateries as possible, including small local restaurants.

A wide network of restaurants can be a competitive advantage and a powerful stimulus for customers to use a service: better restaurant options is the number one reason for one-fifth of customers to use a particular food ordering app.

Attracting eateries to your platform might be hard and slow at the beginning. So you should figure out exactly what to offer and what to ask for. It’s best to start with a small area and contact local restaurants personally. Then you can gradually increase your restaurant base in new areas.

An effective PR campaign is also powerful for attracting restaurants. You can market your idea via

  • social media networks;
  • inbound marketing;
  • affiliate marketing;
  • experiential marketing;
  • … and other channels.

Сonsider the example of Deliveroo. This online food delivery platform records TV ads, such as one with giant food items, offers generous promo codes for customers, hands out branded merchandise, and cooperates with food bloggers. These marketing techniques have helped Deliveroo to get traction and become a billion-dollar company.

#2 Order and delivery model

Order and delivery platforms handle logistics for restaurants, food joints, and home delivery services. A partnership with this these platforms is beneficial for any eatery as they don’t have to search for and pay couriers or maintain vehicles.

Order and delivery services cut 20 to 30 percent on the cost of each order and may charge a flat delivery fee to customers. UberEats went even further: the company offers to make restaurants pop up at the top of search results for a marketing fee.

The Order and Delivery Model

Main challenge: arranging an efficient delivery system

The delivery time matters most for customers. Delivery speed is a key factor of satisfaction for 60 percent of customers. Besides, food must be kept at a consistent temperature to stay fresh and tasty.

The time factor is especially critical for lunch orders, as working people usually have a limited lunch break. Delivery in under 30 minutes counts as great service. Wait times of one hour or more can upset customers and increase the churn rate.

Among common delivery types are milk run and point-to-point delivery. Each of the types has its own pluses and minuses.

Milk run delivery

With milk run delivery, a food delivery company has a base of couriers for regular deliveries. The company maps a fixed route for each courier that reaches all delivery points in one run.

Milk Run Delivery

Strengths: The milk run model helps a food delivery platform reduce operating costs.

Weakness: The milk run model doesn’t work whenever someone requests a different delivery time or wants to make changes to their order.

Point-to-point delivery

With point-to-point delivery, a food delivery service uses a network of standby carriers and assigns a particular order to the carrier closest to the eatery. That carrier takes the food from the pick-up location and delivers it to the drop-off point.

Point-to-point Delivery

Strengths: With point-to-point delivery, a company is able to provide flexible and efficient delivery services for customers.

Weakness: Sustaining a solid delivery network of motivated couriers takes lots of effort and investment. For example, DoorDash pays over $200 for each carrier recruited, and carriers typically stay with the company for only three to six months. To maintain a team of 25,000 carriers, DoorDash has to spend around $5,000,000 every few months.

#3 Fully integrated model

Fully integrated platforms manage the entire food cycle: they source ingredients, prepare meals, and deliver them. These platforms can cater to individual customers or corporate clients. Metabolic Meals arranges special corporate meal plans and delivers healthy delicacies right to offices.

Prepared meal services often partner with a celebrity chef. Eat Purely, for instance, delivers dishes made by Michelin Star chefs.

The Fully Integrated Model

Main challenge: high operating costs

Many prepared meal services have been burned by enormous operating expenses, especially services that have tried to prepare their own food and deliver meals. These companies need to be equipped with refrigerated trucks, coolers, ice packs, heaters, and other costly investments.

Maple, for example, maintained a fleet of cars with food heaters inside them. The company was losing money on each dish, resulting in a $9 million operating loss for 2015. Their revenue only amounted to $2.7 million. The company eventually shut down.

A low customer retention rate along with operating losses on each meal made another food delivery startup, SpoonRocket, close its doors in 2016. Yumist and Sprig also became victims of this high-burn business model.

One possible way to lower operating expenses is to increase the density of orders to be able to make multiple deliveries at a time. This way you can at least lower logistics expenses.

Technological advances like self-driving delivery vehicles and drones can both reduce delivery time to 20 minutes and save money on carrier’s wages. Ele.me, a Chinese food delivery platform, has already started using drones to cover 70 percent of all deliveries.

Which way should you go?

Offering a prepared meal service can give you an edge over your competitors, as you can focus on a specific niche like vegans, meat lovers, or people passionate about molecular cuisine. Yet this type of startup is the riskiest and can easily burn out.

Arranging a robust delivery system may be exorbitantly expensive as well. So if you’re a newcomer to the food delivery market, you’d better start with the simplest business model ‒ order only ‒ and then move on once you have a solid base of partnering eateries.

If you want to know about the latest technologies to advance your food delivery business, subscribe to our blog.

CONTENTS

Authors:

Daryna P.

Daryna P.

Copywriter

Vlad V.

Vlad V.

Chief Executive Officer

Rate this article!

Nay
So-so
Not bad
Good
Wow
35 rating, average 4.71 out of 5

Share article with

Comments (2)
Chris Dombrowski
Chris Dombrowski almost 6 years ago
Daryna this was a very interesting article. Is it possible to patient any of these business structures ?
Reply
Daryna P.
Daryna P. almost 6 years ago Chris Dombrowski
Hi there! Can you please clarify the question, so we can provide you with a relevant reply? ;)
Reply

Subscribe via email and know it all first!