Axper Description
Reports can be accessed in numerous electronic formats and through AxperWeb, a secure online platform dedicated to data monitoring and analysis. The software we provide is adaptable, featuring a customizable dashboard, essential executive reports, potential analysis, and a summary of priorities tailored to user needs. This software equips management at all tiers with crucial insights necessary for informed decision-making, thereby influencing business outcomes and fostering sustainable growth. Furthermore, it enhances collaboration across departments by ensuring everyone has access to the same vital information.
Axper Alternatives
Cloud solution to manage retail spaces, product categories and planograms. Smart automatic generation of planograms based on sales is possible. This allows for the maintenance of planograms in a current state even in large sales networks with many stores. Quant is a complete solution for Space Planning and Category Management, planograms and ranging, shelf labels and POS printing, communication and in-store marketing. Quant Cloud offers all the benefits of cloud computing. You can work remotely on the same projects with your colleagues around the globe and access the same database from different computers. There is no need to create complex infrastructures or overload your IT department. Our consultants are always available to assist you. We train your users, and assist with data integration so Quant can go live in less than 12 week.
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Smart, efficient, anonymous People Counters & Analytics to the real world.
Our solution allows for easy deployment, capture, analysis, and reporting of the number people who enter a physical place. Optionally, we can also capture and report occupancy in real time.
We assist Retailers, Universities, Casinos, Places of Worship, Office Buildings, and other industries in analyzing and taking action on their people traffic trends.
We offer a special package for retailers to measure performance on traffic, including conversion rate and service levels. Our direct integrations make it easy to combine POS data with staff data. The Retail Equation simulator lets users run simulations to improve sales. It can also be used as a learning tool to understand how traffic, staffing, conversion rates, and quality service relate.
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Local Measure Engage
Engage is a highly personalized and exceptional experience that uses the power of AWS, Generative AI and AWS.
Operating clunky, on-premise systems of contact centers is time-consuming and costly. Local Measure's Engage For Amazon Connect is helping contact centers cater to the modern consumer's needs.
Engage is a Contact Center as a Service. This means that we handle all updates and improvements. We do not require expensive agent licenses or hardware. Our consumption-based pricing is designed to accommodate businesses of all sizes.
To build a brand, you must put your customers first. Engage helps agents better understand their customers and make their lives easier with intelligent AI, features like sentiment analysis and chatbots.
Engage includes Voice, Email, SMS and Facebook Messenger, Instagram DM (Direct Message), Twitter DM (Direct Message), WhatsApp, WeChat LINE, and Web Chat.
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Amazon Rekognition
Amazon Rekognition simplifies the integration of image and video analysis into applications by utilizing reliable, highly scalable deep learning technology that doesn’t necessitate any machine learning knowledge from users. This powerful tool allows for the identification of various elements such as objects, individuals, text, scenes, and activities within images and videos, alongside the capability to flag inappropriate content. Moreover, Amazon Rekognition excels in delivering precise facial analysis and search functions, which can be employed for diverse applications including user authentication, crowd monitoring, and enhancing public safety.
Additionally, with the feature known as Amazon Rekognition Custom Labels, businesses can pinpoint specific objects and scenes in images tailored to their operational requirements. For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology. This makes it an accessible tool for a wide range of industries looking to harness the power of image analysis without the steep learning curve typically associated with machine learning.
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Integrations
No Integrations at this time
Company Details
Company:
Axper
Year Founded:
2005
Headquarters:
Canada
Website:
axper.com/store-analytics-software/
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Product Details
Platforms
Web-Based
Types of Training
Training Docs
Customer Support
Business Hours
Online Support
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