On-Demand Application - Checklist With Real Cases

The "Uberization" of the economy created the Applications On Demand (On-Demand) model. Uber, iFood, Rappi, GetNinjas. The logic is always the same: connecting those who need a service (now) with those who can provide it (now), intermediated by an algorithm.

Creating a marketplace for services of this type is the dream of many entrepreneurs. "I want to be the Uber of plumbers", "The Uber of nannies".

But this model has specific challenges in balancing supply and demand. We will analyze real cases and a checklist for your marketplace.

The "Chicken and Egg" Challenge

Every on-demand app suffers from this at first:

Without providers, customers don't ask.
Without customers, providers leave.

Real Case: Uber (Launch in San Francisco)

Uber didn't launch in the entire city at once. They focused on specific neighborhoods and peak times (clubbing, sporting events). They paid drivers to park at these locations, ensuring that if anyone asked, the car would arrive quickly. Lesson: Start hyper-local.

Real Case: Airbnb (Professional Photos)

In the beginning, no one rented rooms on Airbnb because the photos were terrible (taken by the owners with bad cameras). The founders hired professional photographers to come to the first hosts' homes for free. The beautiful photos instantly increased conversion. Lesson: Ensure the quality of the offer at the beginning.

Checklist for Launching your App on Demand

1. The Supply Side (Providers)

Curation: Do you accept anyone or do a criminal/technical background check? (Safety is vital).
Provider's App: They need a separate app to receive orders, view earnings and accept routes.
Quick Payment: The provider wants to receive payment quickly. If you pay in D+30, he will prefer the competitor who pays weekly.

2. The Demand Side (Customers)

Real-Time Geolocation: The customer wants to see the provider arriving on the map. This reduces anxiety.
Bilateral Assessment: The customer evaluates the provider, and the provider evaluates the customer. This purges bad users from the platform.

3. The Algorithm (Matching)

Assignment Rule: Who receives the order? The nearest provider? The best rated? The fastest? Set this rule carefully.

Conclusion

On-demand apps are operation-intensive businesses. Technology is just the means. The secret is to keep both sides of the market happy. If you manage to solve the liquidity problem (having a provider available when the customer wants it), you have a billion-dollar business on your hands.