Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoint optv-mo3 in:#finance s during an imaging routine.

Abstract: One variation of a method for tracking promotional states of slots in inventory structures within a store includes: accessing an image of an inventory structure within a store; detecting a shelf tag on the inventory structure in the image; extracting a set of features from the shelf tag detected in the image; detecting a promotional tag on the inventory structure in the image; extracting a set of features from the promotional tag detected in the image; detecting a deviation between the shelf tag and the promotional tag based on a difference between the sets of features; and, in response to detecting the deviation between the shelf tag and the promotional tag, identifying the first promotional tag as erroneous, and notifying a store associate to replace the first promotional tag with a second promotional tag at the first slot, the second promotional tag correcting the difference.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: One variation of a method for maintaining perpetual inventory within a store includes: accessing a radar scan of an inventory structure within a store; accessing an optical image of the inventory structure; identifying a product type associated with the slot in a region of the optical image; retrieving a volumetric definition of the product type; locating a slot volume defining the slot in the radar scan; extracting a volumetric representation of a set of product units intersecting the slot volume in the radar scan; segmenting the volumetric representation by the volumetric definition to calculate a quantity of the set of product units occupying the slot; and updating a stock record of the store to reflect the quantity of the set of product units occupying the slot.

Abstract: One variation of a method for automatically generating waypoints for imaging shelves within a store includes: dispatching a robotic system to autonomously generating a map of a floor space within the store; accessing an architectural metaspace defining target locations and addresses of the set of shelving structures within the store; distorting the architectural metaspace into alignment with the map to generate a normalized metaspace representing real locations and addresses of the set of shelving structures in the store; defining a set of waypoints distributed longitudinally along and offset laterally from a first shelving structure represented in the normalized metaspace based on a known position of an optical sensor in the robotic system; and dispatching the robotic system to record optical data while occupying the set of waypoints during an imaging routine.

Abstract: One variation of a method for tracking promotional states of slots in inventory structures within a store includes: accessing an image of an inventory structure within a store; detecting a shelf tag on the inventory structure in the image; extracting a set of features from the shelf tag detected in the image; detecting a promotional tag on the inventory structure in the image; extracting a set of features from the promotional tag detected in the image; detecting a deviation between the shelf tag and the promotional tag based on a difference between the sets of features; and, in response to detecting the deviation between the shelf tag and the promotional tag, identifying the first promotional tag as erroneous, and notifying a store associate to replace the first promotional tag with a second promotional tag at the first slot, the second promotional tag correcting the difference.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: One variation of a method for tracking promotional states of slots in inventory structures within a store includes: accessing an image of an inventory structure within a store; detecting a shelf tag on the inventory structure in the image; extracting a set of features from the shelf tag detected in the image; detecting a promotional tag on the inventory structure in the image; extracting a set of features from the promotional tag detected in the image; detecting a deviation between the shelf tag and the promotional tag based on a difference between the sets of features; and, in response to detecting the deviation between the shelf tag and the promotional tag, identifying the first promotional tag as erroneous, and notifying a store associate to replace the first promotional tag with a second promotional tag at the first slot, the second promotional tag correcting the difference.

Abstract: One variation of a method for deploying a mobile robotic system to scan inventory structures within a store includes: dispatching the mobile robotic system to navigate along inventory structures within the store during a setup cycle; at the mobile robotic system, while navigating along the inventory structures during the setup cycle, capturing a set of wireless connectivity metrics representing connectivity to a first wireless network; assembling the set of wireless connectivity metrics into a wireless connectivity map of the store; estimating a processing duration from start of the scan cycle to transformation of images of the inventory structures, captured by the mobile robotic system, into a stock condition of the store; and dispatching the mobile robotic system to autonomously capture images of the inventory structures within the store during a scan cycle preceding a scheduled restocking period in the store based on the processing duration.

Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.

Abstract: One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.

Abstract: One variation of a method for tracking stock level within a store includes: at a robotic system, navigating along a first inventory structure in the store, broadcasting radio frequency interrogation signals according to a first set of wireless scan parameters, and recording a first set of wireless identification signals returned by radio frequency identification tags coupled to product units arranged on the first inventory structure; generating a first list of product units arranged on the first inventory structure based on the first set of wireless identification signals; detecting a first product quantity difference between the first list of product units and a first target stock list assigned to the first inventory structure by a planogram of the store; and generating a stock correction prompt for the first inventory structure in response to the first product quantity difference.

Abstract: One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.

Abstract: One variation of a method for tracking stock level within a store includes: at a robotic system, navigating along a first inventory structure in the store, broadcasting radio frequency interrogation signals according to a first set of wireless scan parameters, and recording a first set of wireless identification signals returned by radio frequency identification tags coupled to product units arranged on the first inventory structure; generating a first list of product units arranged on the first inventory structure based on the first set of wireless identification signals; detecting a first product quantity difference between the first list of product units and a first target stock list assigned to the first inventory structure by a planogram of the store; and generating a stock correction prompt for the first inventory structure in response to the first product quantity difference.

Abstract: One variation of a method for deploying fixed cameras within a store includes: dispatching a robotic system to autonomously navigate along a set of inventory structures in the store and generate a spatial map of the store during a scan cycle; generating an accessibility heatmap representing accessibility of regions of the store to the robotic system based on the spatial map; generating a product value heatmap for the store based on locations and sales volumes of products in the store; accessing a number of fixed cameras allocated to the store; generating a composite heatmap for the store based on the accessibility heatmap and the product value heatmap; identifying a subset of inventory structures occupying a set of locations within the store corresponding to critical amplitudes in the composite heatmap; and generating a prompt to install the number of fixed cameras facing the subset of inventory structures in the store.

Abstract: One variation of a method for stock keeping in a store includes: accessing an image captured by a fixed camera within the store; retrieving a field of view of the fixed camera; estimating a segment of an inventory structure in the store depicted in the image based on a projection of the field of view onto a planogram of the store; identifying a set of slots within the inventory structure segment; retrieving a product model representing a set of visual characteristics of a product type assigned to a slot, in the set of slots, by the planogram; extracting a constellation of features from the image; if the constellation of features approximates the set of visual characteristics in the product model, detecting presence of a product unit of the product type occupying the inventory structure segment; and representing presence of the product unit, occupying the inventory structure segment, in a realogram.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for detecting and responding to hazards within a store includes: autonomously navigating toward an area of a floor of the store; recording a thermal image of the area; recording a depth map of the area of the floor; detecting a thermal gradient in the thermal image; scanning a region of the depth map, corresponding to the thermal gradient detected in the thermal image, for a height gradient; in response to detecting the thermal gradient in the thermal image and in response to detecting absence of a height gradient in the region of the depth map, predicting presence of a fluid within the area of the floor; and serving a prompt to remove the fluid from the area of the floor of the store to a computing device affiliated with the store.

Abstract: One variation of a method for tracking fresh produce in a store includes: accessing a first hyper-spectral image, of a produce display in a store, recorded at a first time; extracting a first spectral profile from a first region of the first hyper-spectral image depicting a first set of produce units in the produce display; identifying a first varietal of the first set of produce units; characterizing qualities (e.g., ripeness, bruising, spoilage) of the first set of produce units in the produce display based on the first spectral profile; and, in response to qualities of the first set of produce units in the produce display deviating from a target quality range assigned to the first varietal, generating a prompt to audit the first set of produce units in the produce display.

Abstract: One variation of a method for automatically generating a planogram for a store includes: dispatching a robotic system to autonomously navigate within the store during a mapping routine; accessing a floor map of the floor space generated by the robotic system from map data collected during the mapping routine; identifying a shelving structure within the map of the floor space; defining a first set of waypoints along an aisle facing the shelving structure; dispatching the robotic system to navigate to and to capture optical data at the set of waypoints during an imaging routine; receiving a set of images generated from optical data recorded by the robotic system during the imaging routine; identifying products and positions of products in the set of images; and generating a planogram of the shelving segment based on products and positions of products identified in the set of images.