AUTOMATED INVENTORY INTELLIGENCE
With the implementation of AWM's Fascia in a retail environment and utilizing AWM’s super-wide-angle low light HD cameras, AWM’s Automated Inventory Intelligence solution can view and track virtually any product or SKU in a retail environment. It is highly accurate, and results can be provided as quickly as near-real-time and as frequently as hourly or even in response to shopper activity. It is simply the most robust inventory tool available.
AWM's LED Fascia reinvents the way consumers and retailers do business. Prices, promotions and advertisement can now be changed with a click of a button. AWM's LED Cabinet is the difference between getting your product noticed or not. Grab attention from across the room and be noticed.
With the integration of AWM's Fascia in a retail environment, the AWM Product Mapper add-on to the internal CMS aﬀords brands and retailers alike with unique capabilities. Not only does it automate creation of planograms which are not already existing, but it automates the planogram auditing process to rapidly identify placement drift and retain optimal product positioning to maximize sales. The solution additionally improves operational eﬃciencies by automating, digitizing and highlighting speciﬁc shelves for product stocking or for click-and-collect applications. Improve native application usage and customer satisfaction by allowing shoppers to locate products in the store themselves with inclusion of their smartphone and highlighting products on-shelf.
CONTENT MANAGEMENT SYSTEM
Easily manage your inventory, prices and content with AWM's User Portal. Designed with you in mind, the User Portal is intuitive, backed by the latest technology and remotely accessible. Discover power and efficiency with our design.
RETAIL DATA ENGINE
Provides a wide range of valuable data which has historically been unavailable to retailers and brands. Goes beyond passive information by allowing for real-time actions such as targeted on-shelf marketing and data which can be used for AI predictive optimization. RDE is comprised of three main subcomponents: Consumer Behavior Analytics, Store Ops Insights, and Shopper Demographics Engine / Facial Analysis.
SHOPPER DEMOGRAPHICS /
Utilizes computer vision with machine learning to anonymously capture a wide range of data on shoppers without requiring them to manually provide any data. In addition to reporting and analytics, enables triggering of content based on demographic criteria like age, gender, and ethnicity. To protect consumer privacy, data is not tied to any personally-identifiable information. Access to raw data is enabled for deep learning and big data analysis.