The Retail Sector has long embraced efficient tools such as ERP and CRM systems to improve automation and gather data. These systems offer valuable assets to companies that need help discovering trends and marketing phenomena. Getting to the bottom of these things, however, requires incorporating off-line data – the reflections of aggregate behaviors and preferences in the real world.
Hikvision offers a comprehensive range of products that collect data, run analyses, and conduct multi-dimensional data fusion. Using devices already installed for a security system, you can now gain a deeper understanding of your customers as a group, observe business patterns, increase operational efficiency, and utilize the right tools to ensure shoppers walk out of your store with smiles and merchandise – while still enjoying all the benefits that a security system brings.
Conventional online data refers to information generated from POS, CRM, SAP, and OA systems, as well as other internet-originated information. Many stores are already equipped with some or all of these tools as part of their daily operations. These systems focus on different stages of the entire sales process, providing information on both internal and external groups
Offline data serves as complementary information for stores. Offline data is a visualized and digitized representation of consumer patterns and behaviors in a retail environment, including customer flow, regional attention, dwell times, and more
The system uses devices installed in various locations of the store for this added purpose. With a rich portfolio of products and advanced capabilities, Hikvision devices collect various kind of data accurately. On top of the data are applications that cater to specific business needs. All of these capabilities and functions are conveniently accessible by 3rd-party platforms, per your preference.
Knowing how many people visited your store and being able to analyze the patterns and trends of shoppers are crucial to any kind of store, big or small. Managers and owners are already acquainted with this function in most places. Data is the essential ingredient for expanded analyses.
For example, identifying peak shopping times improves schedule management, comparing customer flow before and after a promotional event shows its effectiveness, and so on. Large shopping malls can also utilize this tool for cross-store or cross-type business analyses, allowing the management team to optimize stationed stores and strategize key locations for varying types of businesses.
Hikvision has worked on helping customers collect the most accurate data. The new people counting camera is now able to recognize repetitive entries or non-shoppers (including staff, securities, or visitors just walking through the store) and exclude such data. In high-value stores, such as jewelers, luxury stores, or 4S dealerships, the conversion rate mainly relies on staff performance. Therefore, acquiring accurate data, such as the exact number of incoming customers, is important for operational analysis.
Our solution not only offers functionality to analyze customer traffic data, but also summarizes the key characteristics of your customers for you to make more insightful decisions. For example, if a large percentage of your customer group fits into a certain age or gender group, you may consider focusing more on selling things that they are interested in. Customer attributes, such as facial expression, and other data help stores better develop customer profiles and gain insights about their preferences.
Use this function in different locations of your store for multiple applications and purposes. For example, applying customer attribute analysis at the entrance of the store helps you gain information about the overall characteristics of customers. Then, integrating that with the POS system, you will be able to associate customer attribute labels with the actual goods purchased. Marketers can use these and other tools to conduct in-depth analyses and improve product selection in many ways.
Specialty shops see high operating costs and high-value products, thus conversion rates and area effectiveness are the main focus. Loyal VIP customers are enormously valuable to such stores, but service staff cannot always identify them immediately. When customers agree to participate in VIP programs, marketing promotions or other incentives, facial recognition technology will give retailers accurate tools to identify VIPs and loyal customers. Staff can be notified to provide the right services at just the right time.
Precision marketing based on VIP recognition helps specialty stores to offer better shopping experiences, which is now more and more becoming the determining factor in purchase behaviors.
Data that reveal which areas are most visited could be a great help for operational insights. In the shelf area, heat-mapping technology marks the popularity of each shelf areas. Combined with other information, problems with commodities becomes apparent. For example, if you see an area is highly visited but the product sales volume is low, you can further reason whether that’s because the current products or brands lack attraction, or that the products are going to expire soon.
Waiting times can have a devastating effect on the in-store customer experience. Queue detection cameras are designed to monitor queues in real-time and send notifications when there are too many people waiting in line. Along with response times, managers can also check on queue data to evaluate staff performance and track efficiency improvements.
Example: If the statistics show long dwell times but the sales volume did not see a big increase, the problem might be low efficiency of a cashier.
With the advertising management function, chain stores can now centrally manage and unify their advertisements, helping to create uniform and powerful advertising campaigns.
Digital signage can also display various kinds of media, ranging from photos and PDF files to promotional videos, audio, and more.