Sensmode® Machine vision helps chain stores capture the 'customer mindset'

This year's retail format is somewhat different.

In the era of low prices, from online shopping dominating the market to offline physical counterattacks, a situation of dual competition has been formed, and the retail industry has returned to service competition from price and traffic competition.

The key for physical retail enterprises to continuously capture customers' minds is to lower prices and improve services.

Digital means reduce costs, differentiated services drive growth

Utilizing artificial intelligence technology to optimize various aspects of retail business, improve operational efficiency and service levels, has become a significant opportunity to excel in the retail industry.

Sensmode® machine vision intelligent retail multi scene solution can perceive offline scenes in real time, connect "people goods market" data, interpret customer needs with data, and help chain enterprises better understand consumers, thereby better serving consumers.

Sensmode® Machine Vision has independently developed cutting-edge human detection and tracking technology, utilizing advanced visual radar sensing technology to obtain environmental depth data. It can detect the position of the human body in the image without extracting personal identity privacy information, achieving continuous tracking of crowds and traffic statistics in complex scenes with an accuracy of not less than 98%.

Edge based intelligent computing system, with a concise overall system architecture

This solution has been widely applied in various scenarios such as customer flow statistics, hot zone measurement, and product heat monitoring in chain stores, helping enterprises achieve personalized marketing through data acquisition of customer needs, providing differentiation and optimization of store management level, and improving business efficiency.

Explore potential customer needs through perception

#Passenger flow statistics

Sensmode® Machine vision can provide a precise solution for customer flow statistics, with one machine for multiple purposes to achieve separate statistics of out of store and in store customer flow. It can accurately filter store staff, collaborate with sales data for marketing funnel analysis, infer customer group shopping needs through sales conversion rates, insight into the reasons for revenue changes, and empower enterprises to formulate effective marketing strategies and strategic decisions, guiding store operations.

• Insight into the reasons for revenue changes: related sales insights into the reasons for revenue growth/decline;

• Improve store operations: Empower store operations with data, reduce decision-making costs, and enhance operational efficiency;

• Chain store management: The main store real-time grasps the customer flow data of branch stores, reducing the difficulty of management.

Human Plus Frontier Algorithm Helps Obtain Accurate Passenger Flow Data

#Store hot zone measurement

Sensmode® machine vision uses human tracking algorithms to analyze customers' shopping routes and coordinates, set information such as the number and duration of stops in the area, achieve hot zone analysis, help detect areas with high and low traffic in the store, adjust store layout, timely deal with blind spots, and analyze heat map results in a timely manner to compare the effects before and after adjustments.

Based on the analysis results, retailers can conduct window display effect evaluations to understand the relationship between customers, product areas, and the associated value of products. At the same time, they can arrange employees reasonably in busy areas to improve customer experience.

• Measuring the effectiveness of marketing activities;

• Eliminate the "cold zone" of the store;

• Improve the service level in high heat areas and enhance customer experience;

• Based on comprehensive analysis of sales conversion rate and unit price, optimize marketing strategies and increase profits.

Heat map analysis of customer needs to enhance sales conversion

#Product heat monitoring

Sensmode® machine vision can be applied to shelves SKU monitors the level of interaction between consumers and products on the shelf (picking, putting back, touching, staring, etc.), in order to discover popular, potentially popular, and unpopular products, adjust product layout design and pricing in a timely manner, and improve conversion rates.

• Effective display of goods: optimizing the placement of shelf products

• Improving pricing issues: If there is no purchase behavior due to touch, the possible factor may be the price of the product;

• Discovering potential popular products: Products with high attention rates may be potential popular products;

• Handling of unsold products: promptly identify unsold products and develop response strategies to reduce losses.

Optimize pricing strategy through interaction between customers and products

Accurate data empowerment enhances management efficiency

#Cashier loss prevention

The Simu machine vision solution, through intelligent analysis and detection using deep learning technology, can quickly detect cash register fraud and data anomalies, reduce the time for checking cash register issues, minimize internal losses in store cash registers, and help stores achieve efficient store management.

• Reduce billing gaps: monitor customers for items that have not been settled yet;

• Reduce loss of goods: monitor the situation where goods have not been settled or retrieved;

• Reduce labor costs: Setting up a self-service checkout platform in the store, supplemented by a precise loss prevention system, can reduce labor costs.

In the face of the competition between online and offline experts in the retail industry, Simu Machine Vision has created a data-driven intelligent retail multi scenario solution that uses big data to "think what consumers think", making customer needs "visible and tangible", helping to provide "hit the nail" service experience, occupying user minds, and achieving comprehensive growth.