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People Counting assists in Optimal Store Development

The highly dynamic industry constantly urges businesses to attain market success through advanced technology and optimal customer relationship strategies. Also, firms must continuously incorporate people counting systems and big data sensors to generate, collect and store valuable customer information. According to market research, customer relationship management will expectedly cross $80 billion in revenues by the year 2025.

Severe market competition and insufficient corporate resources urge retailers to introduce technological advancements in business operations and improve competitive positioning. As a result, these advancements enable retailers to deliver optimal marketing and advertising strategies, manage footfalls and improve other store activities. Furthermore, technology also helps in accurate scheduling of employees and thus improving overall sales and profit rates.

Employee Engagement and Training

According to a recent market study, over 40 percent of the customers prefer shopping from stores with highly engaged employees. Engaged staff assists businesses in improving customer relationships, and thus resulting in a 20 percent rise in sales. People counting sensors help in tracking customer behaviour, and therefore firms can use the data collected to train employees effectively.

According to market research, around 42 percent of employee’s state on-job learning as a crucial benefit of working for a company. In addition, they also mentioned that growth and development opportunities improve employee satisfaction and retention rates. Statistically, over 50 percent of the worker’s consider other job options if they are not provided with on-job training. Data collected from people counting sensors assist in decreasing overall employee turnover for corporations around the world.

Artificial Intelligence in People Counting Solutions

People counting sensors use big data analytics and Artificial Intelligence technologies to improve in-store analytics. Artificial intelligence assists in creating retail solutions, thus helping them to improve customer experience and reduce wastage of corporate resources. Artificial Intelligence also promotes creativity and innovation in the firm’s day to day operations. In addition, AI eliminates organizational bottlenecks and duplication of tasks.

People counting sensors also help in gaining insights on the success rate of marketing strategies and most preferred in-store merchandise. Also, it assists retailers in the expert predictive analysis to develop optimal sales techniques. As a result, firms can improve customer satisfaction and retention rates by over 30 percent.

According to a recent market study, over 45 percent of the customers don’t prefer shopping from stores with long queues. Artificial Intelligence algorithms assist businesses in appropriate staffing solutions, and thus reducing lost sales opportunities and dissatisfaction amongst in-store shoppers.

The Rise of Brick and Mortar Sector

Despite, the continually rising E-Commerce industry, the market also witnessed a growth in the Brick and Mortar sector. Therefore, retailers must incorporate people counting solutions to manage in-store logistics successfully. In addition, people counting sensors also help in tracking and monitoring product placement strategies. As a result, retailers can monitor high selling products and relocate them to convenient areas in-store to provide timely services.

In conclusion, 55 percent of shoppers prefer brick and mortar stores because they prefer face-to-face interaction with store personnel. Also, it prevents online threats such as lack of privacy and security, poor brand identity and lack of personal touch. As a result, over 60 percent of customers prefer shopping via physical stores instead of online ones. Therefore, the brick and mortar industry will improve customer engagement, brand loyalty and long-term relationship with their customers.

 

Written By: Michelle Oliveira

Client Growth Specialist

2019-04-14T10:55:07+00:00

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