Self-learning for automated planogram compliance

A method for automating planogram compliance based on a merchandise tracking model, the method comprising:

• creating a self-learned planogram based on images of a plurality of shelving units at a location and shelving unit tracking, the self-learned planogram including shelving unit locations for one or more of the plurality of shelving units;
• training the merchandise tracking model based on merchandise-shelving unit clustering, the merchandise-shelving unit clustering being based on the self-learned planogram and sensor readings received from a plurality of sensors at the location, the sensor readings being associated with a plurality of items at the location;
• tracking and storing respective locations of the plurality of items based on the sensor readings and the merchandise tracking model;
• determining planogram compliance results based on comparing the self-learned planogram to the stored respective locations of the plurality of items;
• identifying actionable insights based on the determined planogram compliance results;
• and
• presenting the actionable insights to a user.

At least one non-transitory machine-readable medium including instructions, which when executed by a machine, cause the machine to:

• create a self-learned planogram based on images of a plurality of shelving units at a location and shelving unit tracking, the self-learned planogram including shelving unit locations for one or more of the plurality of shelving units;
• train the merchandise tracking model based on merchandise-shelving unit clustering, the merchandise-shelving unit clustering being based on the self-learned planogram and sensor readings received from a plurality of sensors at the location, the sensor readings being associated with a plurality of items at the location;
• track and store respective locations of the plurality of items based on the sensor readings and the merchandise tracking model;
• determine planogram compliance results based on comparing the self-learned planogram to the stored respective locations of the plurality of items;
• identify actionable insights based on the determined planogram compliance results;
• and
• present the actionable insights to a user.