The dataset provided by Sendy includes order details and rider metrics based on orders made on the Sendy platform. The challenge is to predict the estimated time of arrival for orders- from pick-up to drop-off.
Sendy provides an API as well as a web and mobile application platform to link customers who have delivery needs with vetted transporters. The customers select their vehicle of choice, get their price quote upfront and pay using various payment options. The system optimises the route, looks for the closest available riders and dispatches the orders in the most efficient way.
The training dataset provided here is a subset of over 20,000 orders and only includes direct orders (i.e. Sendy “express” orders) with bikes in Nairobi. All data in this subset have been fully anonymized while preserving the distribution. Furthermore, we have added data about the weather, that corresponds to the time of the order.
You are also able to use any data from the ArcGIS Africa GeoPortal (details below).
You may use only the data provided here in your solution. However, if there are other publicly available datasets that you believe can help improve predictions, please notify us at email@example.com. We will assess whether the data should be allowed in this competition. We will post links to these new datasets below in this section and also announce them on the discussion forum. Until we respond, please assume that you are not allowed to use the dataset in your solution.
Arrival at Pickup times
Arrival at Destination times (column missing in Test set)
Delivery logistics is geographic by nature, so location data and spatial analytics should play a key part in your response to this challenge. Esri and Zindi are working together to give you access to world leading spatial analytics software, ArcGIS and additional contextual datasets such as base-mapping, satellite imagery, traffic data, population data and more. Esri’s ArcGIS technology can be accessed via desktop trials, documented APIs, notebooks and online tools, the best starting point is a free account on the Africa GeoPortal (www.africageoportal.com).
To get an understanding of the sample data, you may wish to plot the pick up points and Sendy distribution centers. Also what about roads, speed limits, traffic congestion? All these should play a factor in your models. There are a number of ArcGIS tools such as route optimisation, nearest point analysis that might help you.
Here is some useful information to get you started on this challenge:
If users want ArcGIS desktop products, you can download a trial here. Trials are 21days but you can request an extension if needed. Or for full unlimited access to Esri’s technology for use from home, check out this package. Any questions please send an email to firstname.lastname@example.org or email@example.com.