FedEx Pilot with Airspace Technologies

#FedEx-Pilot-with-Airspace-Technologies

Statistical Assessment

#Statistical-Assessment

Data used in this assessment is an aggregated dataset using both Airspace proprietary information and information supplied by FedEx for on time insights.

Wait time

#Wait-time

Airspace worked closedly with FedEx to manage time spent waiting at both pickup and destination locations. Airspace Technologies uses the Airspace mobile application to track driver arrival by GPS. The same application is also used to scan the pieces upon receipt allowing us to track wait time at both pickup and delivey down to the second.

Wait Time at Pickup Location

#Wait-Time-at-Pickup-Location

Most drivers had to wait at each pickup location. However, half of all drivers only had to wait six minutes or less to recover the package. This was tightly controlled so as to not affect on time delivery.

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Wait Time by Pickup Company

#Wait-Time-by-Pickup-Company

Analyzing wait time by company allowed Airspace and Fedex to collaborate on managing down wait time by location. Taylor Made had the largest spread of wait time as well as the highest median wait time. This should be closesly managed upon completion of the pilot to prevent potential delay in quoted delivery.

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Destination Wait time

#Destination-Wait-time

Wait time at destination is a strongly right tailed data set. This indicates that the vast majority of orders were accepted at the destination without issue. 75% of all orders were accepted by the customer within eight minutes. However, if orders that were accepted much later than nine minutes experienced exponential delay.

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Time to Dispatch

#Time-to-Dispatch

50% of all orders had a driver confirmed within 4 minutes

#50%-of-all-orders-had-a-driver-confirmed-within-4-minutes

Airspace tightly tracks time to dispatch as a KPI. It tunes dispatch time using driver locations tracked by the Airspace mobile application and improves speed of communication via automating as much communication of information as possible.

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On time Delivery as a Function of Waiting and Dispatch Time

#On-time-Delivery-as-a-Function-of-Waiting-and-Dispatch-Time

Many variables affect on time delivery. Three of which had a large impact on on time delivery during this pilot. Wait time at both the orgin and destination slowed down the order process. Airspace collaborated with FedEx and customers to manage on premise issues to reduce wait time. Additionally, closely managing dispatch time allowed drivers to arrive sooner and be in route to the destination faster greatly mitigating these factors. Below you can see orders in red on the fringes of the data that were affected by one or all of these variables and orders in green that were delivered on time due to managing down wait and dispatch times.

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Time to Pickup

#Time-to-Pickup

50% of all drivers arrived at the pickup location in under 13 minutes

#50%-of-all-drivers-arrived-at-the-pickup-location-in-under-13-minutes

Time to pickup is another strongly right tailed distribution. Over 50% of all drivers arrived at the pickup location in under 13 minutes. Despite several outliers causing the data to scale, the vast majority of orders were picked up within an hour and those times were managed down as evident in the line graph below.

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Time to Pickup

#Time-to-Pickup

A longitudinal analysis of time to pickup shows that all outliers occurred at the begining of the pilot. As the pilot progressed, pickup time decreased across all locations.

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