People Counters

People counters provide the most accurate available information on customer movement entering and exiting a particular area in a given period of time. The obtained information can be used to analyze trends within a particular location, a specific area in the location, or across your entire network of locations. With the technology you will also be able to identify details on demographics such as split of persons into adults and children. People counters can also be used to assess the efficiency of a particular location by identifying the share of visiting customers vs the flow of customer passing by a branch.
Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:
• Real time feedback on the number of customers present in a particular location in a given point in time- allows to react to situations before they occur- for example knowing the number of customers in the store can lead you to make a decision to allocate resources to opening a cash register before the queue actually forms
• Assess customer traffic vs. # of FTE’s- can be used to optimally plan the staffing within the POS and entire network
• Assess the cost of maintaining a branch vs. traffic in front of the branch- can be used to identify locations which have a low potential of breaking even
• Assess the effect of sales and marketing campaigns on customer traffic entering the branch- allows to quickly identify objective benefits of marketing campaigns and more efficiently allocate marketing spend
• Assess the effect of expositions/ visuals on customer traffic – assess the effectiveness of a change in the communication within a store to assess whether it increases customer interest
• Establish optimal hours of operations of branch vs. customer traffic
• Predict the effect of weather vs customer traffic

Customer Service Analysis

Customer service is an important part of every organization. With our solution, you can measure customer service metrics of each and every customer and also each and every employee. The metrics are captured without any interaction with the customer which would disrupt the customer’s natural behavior. Furthermore, the metrics are analyzed on a full population basis, not sample basis, which may be unrepresentative and therefore the conclusions will be appropriate. Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Real time feedback on the number of customers present in a particular location in a given point in time- allows to react to situations before they occur- for example knowing the number of customers in the store can lead you to make a decision to allocate resources to opening a cash register before the queue actually forms
• Assess customer traffic vs. # of FTE’s- can be used to optimally plan the staffing within the POS and entire network
• Assess the cost of maintaining a branch vs. traffic in front of the branch- can be used to identify locations which have a low potential of breaking even 
• Assess the effect of sales and marketing campaigns on customer traffic entering the branch- allows to quickly identify objective benefits of marketing campaigns and more efficiently allocate marketing spend
• Assess the effect of expositions/ visuals on customer traffic – assess the effectiveness of a change in the communication within a store to assess whether it increases customer interest
• Establish optimal hours of operations of branch vs. customer traffic 
• Predict the effect of weather vs customer traffic

Product Recognition

Identification of products with 95% accuracy rate via image processing technology. Self-learning algorithms identify all types of SKU’s and automatic stitching of phots allows for multi-photo expositions to be captured and analyzed in one go. The solution is used by market research firms, sales teams of CPG’s and distributors, and owners of points of sale to assess and analyze expositions. With the combination of product recognition and customer behavior analytics – all players of the sales and distribution cycle can analyze and understand the effect of product placement on customer behavior. 
Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Identify share of space of your products vs customers
• Eliminate bias, objectivity, and error in assessing product existence and its proper facing on the shelf
• Real time information and feedback (consolidated) on planogram compliance
• Effect of product placement, facing, new packaging on customer behavior (do customers notice your products)

License Plate Recognition

Identification of license plates will in many parts of the world help understand the geographical origin of persons entering a parking lot. This information could be very beneficial in helping plan communication and marketing plans on a very local level.
Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Identify the origin of customers visiting a particular location
• Assess the frequency of visits of particular customers
• Analyze the length of visits

Queue Analysis

Simple to understand – this metric allows to identify and track information of queue formation within a point of sale. Similarly to all of the remaining metrics, the information can be compared to other locations, trends in time, or against other external information such as weather patterns, marketing campaigns, or promotional campaigns. 
Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Establish the maximum acceptable length of a queue before a push alert is sent to open an additional cash register
• Proportion of potential lost customers due to too long waiting lines
• Time spent per particular customer in a queue

Presence Detection

Presence detection ranks the popularity of a particular area through a combination of metrics such as time spent of a particular person in a particular area and number of persons in the particular area. Areas within a particular store as well as areas across different stores may be compared against each other as well as in time to analyze trends.
Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Assess the cost/ benefit of maintaining a particular area
• Identify unutilized areas within a point of sale
• Identify the effectiveness of specific zones, such as self-service zones on customer behavior
• Identify the effectiveness of customer service per type of transaction/ per employee
• Assess customer interest in marketing materials/ window displays etc
• Better sell your space/ exposition area to your suppliers
• Optimize the layout of the branch vs. the comfort of movement of customers
• Create unique layouts tailored to the needs of a particular customer group

Direction and Speed of Movement

Understanding customer movement allows to appropriately plan your branch/ store layout to meet the flow of your customers. Analyzing the direction and speed of movement allows to furthermore assess the effect of introduced communication material, promotions, or other means of interaction with customers. The Lab4motion solution allows to identify the movement of each individual customer therefore having the possibility to analyze at a unique or consolidated level, assessing trends and comparing results across different locations.

Below we present only a small sample of benefits which could be obtained from the above mentioned metrics:

• Assess the attractiveness of POSM material and its effect on bringing customers into a specific area
• Analyze the customer visit rate vs the customer flow rate outside of your point of sale
• Identify customer flow within a point of sale and the attractiveness of promotions

Real-time Alerts

This is probably the most important functionality of our solution. Computer functions can analyze and interpret the information received and push alerts in real time via any means of communication required such as email or SMS to appropriate levels of staff. This means that not only are critical moments identified when they arise, but one receives a notification about their occurrence as they happen, meaning appropriate reaction can take place to address the specific occurrence. From improving customer service, to identifying low quality employees, or assessing the effect of a marketing/ communication campaign- real time alerts can provide valuable feedback to all parties involved in the process. 
If:

• the CEO is interested in obtaining information about a specific out of stock situation,
• the Head of Marketing is interested in receiving feedback on the effect of the new POSM
• the Head of Product is interested in assessing the effect of the presentation of a new collection on mannequins
• the Head of HR is interested in tracking the performance of new hires
• the POS manager is interested in pushing sales 

all of this is possible with Lab4motion.