What is IoT-Enabled Reconditioning Process Tracking?

Reconditioning process tracking solutions automate management and communication involved in the reconditioning process for used cars, usually using IoT-enabled sensors to track location, with the ultimate goal of reducing time-to-line (T2L).

Value Proposition

T2L plays a huge role in the profitability of individual used cars. On average, used cars in a dealership’s inventory cost $42 per day to stock – and that’s just the cost of storage and day-to-day maintenance, not including reconditioning and preparation to sell.

The most effective way for dealerships to increase revenue on used car sales is to optimize the reconditioning process and reduce T2L to minimize the cost of prepping cars for sale.

Reconditioning process tracking solutions automate the administrative parts of car reconditioning, so that staff can focus on getting more cars through the process and back on the lot.

How it Works

Most reconditioning process tracking solutions work by tagging cars coming into inventory with an IoT-enabled sensor to track its location. By tracking the car’s movement in and out of geofenced areas, the system is able to determine when a car is being cleaned, maintenance, or sitting in the lot waiting and automatically updates its status in real-time.

By storing and updating status updates on each individual car in one central location, sales staff can easily check-in on the location and status of cars entering the market and instantly locate them for interested customers.

Managerial staff can also use the system to identify operational inefficiencies, if a car is often stalled in the process at specific stages, for example, and receive automated alerts if a car has spent an unusually long time in one stage of the process, to further prevent losses due to miscommunication or error.

Key Benefits to IoT-Enabled Reconditioning Process Tracking

• Identify inefficiencies in the reconditioning process to reduce T2L.
• Manage and monitor maintenance staff performance.
• Eliminate inefficiencies and human error involved in seeking and reporting vehicle status updates.