METHOD AND SYSTEM FOR STATISTICAL ANALYSIS OF CUSTOMER MOVEMENT AND INTEGRATION WITH OTHER DATA
First Claim
1. A method comprising:
- collecting first tracking data representing movements of a first set of customers through a store during a first time period;
generating a first distribution using the first tracking data;
collecting second tracking data representing movements of a second set of customers through the store during a second time period, different from the first time period;
generating a second distribution using the second tracking data;
comparing one of the first or second distributions to another of the first or second distributions; and
based on the comparison, calculating a first value indicating a degree of difference between the one of the first or second distributions and the other of the first or second distributions.
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Abstract
Movement patterns for customers in a retail environment are quantified using a set of movement traces. The quantifications are correlated with other retail metrics to determine which patterns are conducive to positive results for the retailer. In an implementation, first and second distributions are generated using the movement traces. One of the first or second distributions is compared to another of the first or second distributions. A value is calculated indicating a degree of difference between the distributions. In another implementation, a set of node sequences representing paths of customers in the retail environment are obtained. The node sequences are associated with consumer behavior patterns. A target customer is tracked and a target node sequence representing a current path of the target customer is generated. The target node sequence is compared with the set of node sequences to make a prediction about the target customer.
88 Citations
21 Claims
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1. A method comprising:
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collecting first tracking data representing movements of a first set of customers through a store during a first time period; generating a first distribution using the first tracking data; collecting second tracking data representing movements of a second set of customers through the store during a second time period, different from the first time period; generating a second distribution using the second tracking data; comparing one of the first or second distributions to another of the first or second distributions; and based on the comparison, calculating a first value indicating a degree of difference between the one of the first or second distributions and the other of the first or second distributions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A method comprising:
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collecting first tracking data representing movements of a first set of customers through a first layout of a store; generating a first distribution using the first tracking data; correlating the first distribution to a first value of a sales metric; collecting second tracking data representing movements of a second set of customers through a second layout of the store, different from the first layout; generating a second distribution using the second tracking data; correlating the second distribution to a second value of the sales metric; and comparing the first value of the sales metric to the second value of the sales metric to determine whether to recommend the first layout or the second layout. - View Dependent Claims (13, 14, 15, 16, 17)
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18. A method comprising:
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collecting a plurality of tracking data; generating a plurality of distributions using the plurality of tracking data; correlating the plurality of distributions to a plurality of values of a sales metric; receiving a target distribution associated with a target layout; comparing the received target distribution with the plurality of distributions to identify a distribution that resembles the target distribution; based on the comparison, determining that a first distribution of the set of distributions resembles the target distribution; and predicting a first value of the sales metric for the target layout, wherein the first value of the sales metric is correlated to the first distribution. - View Dependent Claims (19, 20, 21)
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Specification