Problems and Solutions in Forklift Tracking

We have compiled the problems faced by businesses in forklift tracking and the solutions to these problems for you. Let's take a look!

Incorrect Data Collection

One of the key challenges in forklift tracking is the accuracy of the data collected. This can be due to human error or technical problems in the tracking method. Manual data collection based on Excel is also prone to inaccurate or duplicate data entry.

Solution: To overcome this challenge, businesses can invest in automated data collection solutions that eliminate the need for manual data entry. Forkwise, eliminates the need for manual data entry and automatically collects forklift contact time, travel time, loaded travel time, operator productivity, instant location and more. In a 1-year period, Forkwise generates approximately 970,000 data packages for 1 forklift and reports them to managers.

Lack of Visibility

Limited visibility into forklift performance and utilization is a significant problem. Without accurate data and insights, organizations struggle to identify inefficiently used forklifts. Lack of visibility significantly hinders effective decision-making and resource allocation.  For a manager, this can be a significant drain on time and resources.

Solution: Forkwise can be a valuable solution to overcome this challenge. Forkwise provides a centralized platform for registering and tracking forklifts, providing real-time visibility and easy access to historical usage data on forklifts. For example, a company that manages operations in different locations can use Forkwise to continuously analyze usage data and ensure efficient equipment allocation by sending equipment from a less busy operation to a very busy operation. In this way, it can reduce the wear and tear of forklifts in very busy operations while minimizing downtime due to usage.

Cost-Effective Usage

As a combination of incorrect data collection and lack of visibility, businesses are unable to fully analyze the cost of using forklifts. In this case, healthy decisions cannot be made in terms of cost management.

Solution: In Forkwise, a magic quadrant is created for the entire enterprise inventory based on the hourly costs and performance data of all forklifts in the enterprise. In this graph, forklifts are categorized as follows. In this way, business managers can dynamically analyze the operational costs of the forklifts in their inventory.

Inefficient Forklift Allocation

Many organizations face the problem of inefficient forklift allocation. This occurs when forklifts are not allocated effectively between different departments, resulting in under- or over-utilization of forklifts.

Solution: The solution to this challenge is to use a Forklift Tracking Platform. Businesses using Forkwise continuously analyze the continuity of use of forklifts and organize allocation according to demand and usage. In this way, better resource utilization and cost savings are achieved. For example, two forklifts or two departments can be compared with each other on the Forkwise web interface, and allocation processes can be optimized by displaying usage intensity on an hour or shift basis.