Enhancing Parking Lot Operations with AI
In today's information-rich world, AI and big data technologies have the ability to effectively extract valuable insights from complex data, identify logical connections, and predict future trends.
The AI-Powered Parking Lot Operation Brain
Parking lots can be categorized as indoor or outdoor, each with its own charging methods and access control technologies. Additionally, the stability and safety of parking lot equipment may vary. So, how can we scientifically measure the management and operational quality of a parking lot? How can parking lots improve efficiency and reduce costs?
Leveraging years of experience in the parking industry, JIESHUN has developed an artificial intelligence parking lot operation brain. This system comprehensively collects various parking lot information and analyzes it from multiple dimensions and levels. It quantifies management processes, making parking lot operations more intelligent, while also enabling timely adjustments to maximize benefits.
JIESHUN's parking lot operation brain incorporates various evaluation models. These models determine the overall score of a parking lot by assessing indicators such as the number of parking spaces, utilization rate, and traffic efficiency, among others, in a weighted manner.
Parking Lot Evaluation Model
The parking lot evaluation model serves as the core of the AI parking lot operation brain. With over 100,000 deployed parking lots globally, JIESHUN possesses a vast amount of data, providing robust support for the collection of evaluation indicators. Furthermore, JIESHUN's extensive industry expertise has led to the development of personalized indicators, ensuring the diversity and feasibility of evaluation models.
One such model is CEMP (Comprehensive Evaluation Model of Parking Lot), a result of in-depth analysis of nearly 100 parking lot operation indicators. CEMP scores the parking lot based on factors such as operating income, intelligent management, traffic safety, and value-added operations, providing a comprehensive assessment of the management and operations.
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Beyond evaluation models, the operation brain also generates regular evaluation reports. These reports allow the management team to access real-time information on parking lot operations, enabling them to adjust strategies accordingly based on the index scores.
深圳市捷顺科技实业股份有限公司 offers the flexibility to customize evaluation models and indicators to meet the specific needs of different positions within an enterprise. Management may prioritize the overall score ranking, while the finance department focuses on revenue. Operation and maintenance personnel may be interested in offline rates and equipment error correction rates.
As parking application scenarios continue to expand, operators can create personalized indicators, such as monthly card activations, receivables, and actual collections, and regularly rank parking lots accordingly.
To illustrate the value of evaluation indicators, let's consider the equipment maintenance model. This model establishes indicators related to equipment maintenance, such as the number of error corrections and problem processing data collected from parking lot controllers, and calculates the error correction rate.
Error correction rate = Total number of errors corrected / Total number of problem processing. When the error correction rate exceeds a certain threshold, the AI brain proactively alerts and notifies the operation and maintenance personnel of the evaluation results. If the error correction rate remains high for an extended period, it signals potential equipment failure, prompting consideration for equipment replacement. This early warning mechanism ensures the stable operation of the parking system.
In addition to existing models, regular reports, custom models, and evaluation indicators, the AI operation brain offers other functions as well.
Value-Added Operations
In the future, the AI operation brain will provide more value-added operation services. For instance, it can provide operators with detailed insights into the parking lot, including vehicle information such as brand, color, and model, enabling more refined management and operations. This information can facilitate the development of personalized applications and activities, enhancing interaction between the parking lot and users, and maximizing the parking lot's potential.
Connoisseur in Parking Management
10 个月well i would think bigger than that in terms of AI's contribution to parking operations. In my opinion, the article has good insights for the public however as for me in parking management services, its nothing new, all this services has been available since the early 2000 just that all this information is being extracted into 1 platform and 1 interface to see everything rather than the good old days. What would be more interesting is when the AI itself can manage the car park itself with very minimum human supervision whereby it can assist customers with issues at the entry/exit lanes and notifying automatically the parking operations on what is going on, maintenance that is due that it can automatically highlight to the vendor to perform the preventive maintenance or alert on what components are needed to be changed. Intercoms are answered by AI as there are possibilities no staff at car park site offices.
Understanding the intricacies of parking lot operations, your article touches on the transformative potential of AI and big data in streamlining processes and predicting trends. ???? Generative AI can take this a step further by optimizing decision-making algorithms and enhancing customer experience with minimal human intervention. By integrating generative AI, you could see a significant leap in efficiency and accuracy, from dynamic pricing models to real-time parking guidance systems. ????? Let's explore how generative AI can revolutionize your parking solutions even more. Book a call with us to unlock the full potential of AI in your operations. ??? Cindy