Walmart Apollo, LLC

Wal-mart Stores, Inc.

Anindya Sankar Dey

Omker Mahalanobish

Manish Kumar Barnwal

Stephen Steel

Rahul Tripathi

Mainak Mitra

Sadaf Riyaz Sayyad

Yashas Bharadwaj

Aaron Ryan

Ming Li

Paul Schaefer

Lakshmi Bhaswanth Ramireddy

Mariana Pop

Kushal Mogathal Kumar

Nithya Swaminathan

Nikesh K Srivasatava

Onzali Suba

In some embodiments, apparatuses and methods are provided herein useful to forecasting product demand. In some embodiments, a system comprise a forecasting control circuit to: apply each of a plurality of different models to forecast demand of a first product over a first historic period generating historic forecasted demands of the first product, wherein at least a first model uses selected one or more variables that are predicted to have an uncharacteristic effect on predicted demand; select one of the models and apply the model in generating a forecasted future demand, wherein the selection of the model is based on a difference between each of the generated historic forecasted demands and actual sales; and identify actions to modify inventory of the first product at the first shopping facility based on the forecasted future demand.

Systems and methods of utilizing multiple forecast models in forecasting customer demands for products at retail facilities

Examples of the disclosure provide a system and method for obtaining one or more current candidate resumes and one or more past candidate resumes associated with a role and analyzing full text of the obtained resumes to identify one or more items. Weighted values are determined for the identified items using a dimension reduction technique, and a probability score is calculated for each of the obtained current candidate resumes based on selection data associated with the obtained past candidate resumes. A keyword score is calculated for each of the obtained current candidate resumes based on a presence of one or more keywords associated with the role in the obtained current candidate resumes. A final candidate score is generated for each of the obtained current candidate resumes based on the keyword score and the calculated probability score, and the generated final candidate scores are output in association with the obtained current candidate resumes to a user interface.

Automated resume screening

Embodiments relate to systems and methods for identifying potential shoplifting incidents. In one embodiment, a system can receive and analyze information related to a number of items removed from a display and a number of items added to a shopping receptacle. These numbers of items can be detected by weight or load changes sensed by a sensor system, and if the counted numbers of items do not match, the system can flag nearby shopping receptacles via their unique identification numbers as potentially involved in shoplifting incidents.

Systems and methods for identifying potential shoplifting incidents

In some embodiments, methods and systems of detecting and monitoring shoplifting of products by individuals at a retail facility include sensors coupled to a product and located at a fixed threshold distance relative to each other. The sensors are configured to generate an alert signal indicating that the fixed threshold distance between the first and second sensors has been altered. An alert sensor positioned in the product stocking area of the retail facility is configured to receive the alert signal from one or both of the product sensors. A central computing device at the retail facility is configured to determine the alert sensor that received the alert signal, and to activate a video camera in order to acquire a photo or video of the portion of the product stocking area of the retail facility associated with the alert sensor that received the alert signal.

Methods and systems for detecting shoplifting at a retail facility

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Bengaluru, India

Anindya Sankar Dey