A highly-specialized online tool, Price2Spy is launched back in 2011 and is now used by more than 680 companies of all sizes, worldwide.
It helps eCommerce professionals to monitor, track and analyze their competitors' or retailers' product pricing and availability. Users are offered both pricing acquisition as well as multiple reporting mechanisms for analyzing data.
Price2Spy is based on 4 main mechanisms (price comparison, price change alerts, pricing analytics, and repricing), it provides essential aid – both in everyday pricing operations (an email alert each time it detects a price or availability change) and in strategic decision-making.
With advanced features like B2B price checks (prices protected by username/password), in-cart price capturing, and stealth IP monitoring, it represents a state-of-the-art solution when it comes to price monitoring.
Price2Spy is even capable of monitoring websites that are built to shield off monitoring applications. You can virtually see the pricing of your competition even if their websites don’t want to be monitored.
The Repricing module enables you to define your own pricing strategies identity which products can go up / down in price, and get these prices changed in your online store.
There is little to be done from your end to get the system up and running. Price2Spy offers tutorials, demos, and online support to help users along the way.
Based on our record, NumPy seems to be more popular. It has been mentiond 112 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 19 days ago
NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 20 days ago
NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 days ago
This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 27 days ago
Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Hull - The engagement layer for the internet. Hull is a platform that offers identity management, user engagement, segmentation and targeted messaging for your app.
OpenCV - OpenCV is the world's biggest computer vision library
SAP Crystal Reports - SAP Crystal Reports offers easy-to-use BI and reporting tool to design and deliver meaningful business reports.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Drmetrix - DRMetrix is the first 24/7 commercial monitoring platform designed for the direct response television industry