Food Delivery





Instant gratification is magic; we expect things to happen as soon as we push a button. This phenomenon is all the more common in the food delivery space.

Many restaurants do not have a composite system in place that identifies and gratifies customer requests instantly. Though the currently available systems can grab orders but very often the orders get cancelled or delayed. FarEye On-Demand solution ensures that every received order gets accepted and catered in minimum time with least logistics cost.

DID YOU KNOW? In a recent survey:


Of the organisations said they do not have full visibility of their supply chain.

1 in 10

Said they do not even know who their major suppliers are.


Of respondents experienced at least one disruption during the previous year.


Suffered cumulative losses of at least 1 million Euros

*Sources: Secondary Data

Custom Workflows | Real-Time Visibility | Analytics Dashboard

Consumers are more empowered than ever before and are in complete control. They are now accustomed to expect and demand better service at their convenience .

FarEye as a digital logistics platform allows businesses to define customer-centric process and cater to on-demand requests with its unique broadcasting feature. As soon as an order is received, the manager broadcasts the job hub-wise and/or location-wise so that the rider nearest to a delivery location can revert with order acceptance and the jobs gets auto-assigned to the available rider.

As people want their food typically within 30–45 minutes, it leaves only 20–30 minutes for delivery (assuming a 10–15 minute prep time). So the delivery has to be superfast or you have just lost a customer. One of the biggest problems in this industry is identifying the end customer’s location. GPS navigation may be good enough to guide one to a new location, but is never exact. Constant follow-ups, navigating using google maps, struggling with cash payments and of course, communicating with customers. The problems are far too many.

How do we create MAGIC


The manager can select the orders to be broadcasted and leave the rest to our intuitive module which identifies riders by running intelligent algorithms at the backend. The jobs are assigned in any of these ways:


Skill pool - to users who are skilled in a specific type of orders delivery.

FIFO - as per “first in first out” availability of riders.

ETA to the location-based assignment - to nearest riders.


Filters can be set for hub and latitude-longitude coordinates to broadcast orders for better allocation among riders.