So why create a food delivery API?
Can’t you just use the API provided by top food delivery apps like Grubhub, Eat24, Seamless or UberEats?
Well, it’s not that simple.
To begin with, there is no standard API format that all delivery platforms adhere to. And unfortunately, almost none of the food delivery platforms provide a public API. your best bet is to pay to gain access.
Even if you envision a product that could revolutionize food delivery or restaurant management, you’ll be stuck without access to a unified open food delivery API.
But what if there was work around?
In this post, we show you how Nanonets can help you build a food delivery API by getting data from delivery letters.
Use shells for the food delivery API
The Food Delivery API can be used to power a variety of services, here are some examples:
- Provide data analysis and insights to restaurants so they can see trends in order types, popular foods, customer demographics, and more. Food delivery apps typically don’t share such insights.
- Optimize or manage a delivery fleet that accepts orders from multiple restaurants or food delivery apps.
- Powerful cloud kitchens that can increase restaurant reach.
- Build an integrated platform for restaurants to receive and serve orders across delivery platforms.
- Allow dark stores or fulfillment centers to predict demand and deliver products to restaurants in a timely manner.
- Remove phone numbers or contact information from shipping letters.
Using Nanonets to build custom grocery delivery APIs
Nanonets is an AI-powered OCR software that automates all kinds of data conversion workflows.
Nanonets can recognize and extract data from e. from emails, email attachments, PDFs, images, documents, spreadsheets, and other data sources. The extracted data can then be sent or integrated into any business application of your choice.
To build your own food delivery API, you will use Nanonets to create a custom email parser to scan all food delivery emails.
This food delivery email extractor will extract specific data from delivery emails sent by different apps (Grubhub, Eat24, Seamless or UberEats). And this data can be used to power your API.
Build your own food delivery API with Nanonets. Analyze food delivery emails and automate your workflows.
How to Analyze Food Delivery Emails Using Nanonets
Follow these steps to create your own food delivery email analyzer and send the data anywhere you want.
Create an account
Sign up to get started with Nanonets.
Or login to your Nanonets account.
Select a data analyzer
Depending on the types of emails you want to analyze data from, create your own data analyzer or choose one of Nanonets pre-built data analyzers.
A pre-built data parser is an AI that has been trained on thousands of instances of a particular data/document type.
Import your email
Next, import some emails into your data analyzer.
Simply automatically forward your emails to a dedicated Nanonets inbox or recipient address. And Nanonets will then capture all these emails in your data analyzer.
You can also create automatic import of files from cloud storage, databases or connect to other sources via API.
Nanonet’s pre-built data parser extracts relevant data from the email body and/or sent email. from the mail application.
You can even quickly edit, review or approve extracted data.
Export or automate the workflow
Complete the process by selecting your preferred output format: Excel or csv (among other options).
You can also automate this entire workflow by marking data enhancements/transformations, making approvals, and sending the final results to the business application of your choice.
Take
It’s unfortunate that there isn’t a unified API that can work across food delivery apps.
But you can still power your own food delivery API with a smart data analyzer like Nanonets, coupled with some integrations.
Nanonets can achieve this by extracting data from delivery letters. Nanonets Email Analyzer can be used to extract information from all types of emails, such as exporting Outlook emails to Excel or extracting data from email applications.