Data Structuring for Delivery Companies

Case: Clients use the service to get exactly what they need.

Customers use our worksharing service to enter data, clean data, enrich data, and run custom transformations on demand. ‍

In the six months, we've served as a scaling partner for three major global food delivery brands, structuring tens of thousands of menus. For example, we hired and training a fleet in weeks and building original technology, too. This is a behind-the-scenes look at the life of a menu - or how we take massive number of menus from around the world and turn them into data anyone, anywhere, can use to order dinner.

Takeaways

Stand up & scale large data operations
Build tools that save clients $
Optimize workflow between people & tech

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The Process

  1. 1. Menus are automatically downloaded.

    Machines prepare our work environment, downloading and organizing menus each day.

  2. 2. Agents rate its difficulty.

    Some menus have thousands of items and combinations. Others are simple. Senior operators assess how hard it will be to apply choice architecture to a given menu.

  3. 3. Work is automatically assigned.

    Our platform automatically distributes work to the team based on their skills and availability.

  4. 4. Custom tools read menus of all kinds.

    Bots and OCR can't see what choices a diner will need to make when ordering, but they read text fast and well. We built a tool called Magic Wand that extracts from dozens of formats and prepares it for agents to process.

  5. 5. Choice logic is applied.

    Our team ensures that you can add extra toppings on your pizza for no charge if you want to! (That's an "and", not an "or.")

  6. 6. Check the list twice.

    Formulas and scripts prevent common errors, and our experts review the work for edge cases. When we're sure everything is accurate, it's uploaded to the client's systems.

Processes used for this client:
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