5 Reasons Why Jewellery Stores Need People Counting Solutions and In-Store Analytics
Published on 11 Sep 2024

5 Reasons Why Jewellery Stores Need People Counting Solutions and In-Store Analytics

Running a jewellery store requires more than just offering beautiful products. You need to understand how customers interact with your store, optimize your staff’s efficiency, and ensure that every potential customer turns into a sale. AI-based People Counting Solutions and In-Store Analytics provide the data-driven insights you need to make these improvements and boost your store’s performance. Here are five reasons why your jewellery store can benefit from these technologies.

1. Accurately Measure Customer Footfall (People Counting Solutions)

Knowing how many customers walk through your doors every day is crucial for staffing and marketing decisions. With People Counting Solutions, you get accurate data on foot traffic, allowing you to schedule staff for peak hours and ensure that promotions are well-timed. For instance, if you find that your busiest times are between 3 PM and 5 PM, you can make sure that your best sales associates are present during these hours to maximize customer engagement. Additionally, with real-time analysis of customers who leave without purchasing, you can provide actionable feedback to your staff, helping them refine their approach and convert more visitors into buyers. Implementing such a system has been shown to reduce bounce rates by 20%, as store managers can make adjustments to improve customer service and prevent lost sales.

2. Optimize Store Layout with Dwell Time Analytics

Your store layout plays a critical role in driving sales, but how do you know if it’s working? AI-powered In-Store Analytics uses heatmap analysis to show which areas of your store get the most traffic and where customers are spending the most time. For example, if your high-value diamond counter attracts a lot of attention but customers tend to walk past the luxury watch section, you can rearrange the layout to make the watches more prominent. By identifying bottlenecks and low-engagement zones, you can redesign your layout to increase customer flow and engagement. Stores that have used heatmap analytics to optimize their layouts have reported engaging 2X more customers by turning low-traffic areas into attractive, high-traffic zones.

3. Turn Customer Interest into Sales with POS Data Integration

It’s common for customers to spend time at specific counters without making a purchase. In-Store Analytics can track customer dwell time and integrate this with your POS data to see if interest in a product is translating into sales. For example, if you notice that customers are frequently browsing engagement rings but not purchasing them, this could signal the need for better staff training or targeted promotions to close the sale. By eliminating manual data collection errors, this system gives you a clear view of true customer interactions, leading to a 30% increase in actual conversions. Real-time data helps your store focus on converting these walk-ins by eliminating errors from manual data collection and calculating conversions based on actual customer interactions rather than inaccurate or outdated manual methods.

4. Ensure Customers Are Engaging with Merchandise

When customers interact with your products, such as touching or trying on jewellery, they are far more likely to make a purchase. In-Store Analytics tracks which products customers engage with, giving you valuable insights into customer preferences. For instance, if customers are frequently picking up a line of bracelets but aren’t purchasing them, this could indicate the need for better promotion or more sales staff engagement. Perhaps your staff can offer information on matching pieces or suggest other items to complement the bracelet. Research has shown that 75% of customers are more likely to buy after physically interacting with a product. With this data, you can adjust your displays to highlight the products that attract the most attention, leading to better customer engagement and higher sales.

5. Avoid Losing Sales by Attending to Customers Quickly (Real-Time Alerts)

Unattended customers in a high-end environment like a jewellery store can lead to lost sales. With AI-driven In-Store Analytics, real-time alerts are triggered when customers linger at a counter without receiving assistance. For example, if a customer has been standing at the diamond display for several minutes, an alert can notify your staff to engage with them, offering personalized assistance and increasing the likelihood of closing a sale. Stores using real-time alerts have reported a 15% boost in customer satisfaction and a 10-15% increase in overall sales. This system ensures that no customer goes unnoticed and helps maintain a high level of personalized service, which is critical for closing sales in a luxury retail environment.

In a competitive retail space like jewellery, understanding customer behavior and optimizing operations are key to driving sales and providing exceptional service. AI-based People Counting Solutions and In-Store Analytics give you the data you need to make informed decisions that improve store layout, enhance customer engagement, and increase conversions.

How to Choose the Right AI-Based Solution for Your Jewellery Store

With so many AI-based solutions available, it’s important to select one that aligns with your store’s specific needs. Start by identifying the primary areas where you want improvement—whether it’s tracking customer footfall, analyzing in-store layouts, or enhancing customer engagement. Look for solutions that integrate seamlessly with your existing systems, such as your POS, and provide real-time insights that are easy to interpret. It’s also essential to choose a solution that can scale with your business as it grows. One example of a comprehensive AI-based solution is offered by Enalytix, which provides advanced video analytics . Our tools allow you to monitor customer behavior, optimize store layouts, and improve overall sales performance, giving you the insights you need to make data-driven decisions that positively impact your bottom line.