pandas is a “fast, powerful, flexible and easy to use open source data analysis and manipulation tool…” - pandas home page. It’s primary data structures, Series and DataFrames, are equipped with numerous methods, to conveniently handle everyday data wrangling tasks:

PostgreSQL is a reliable, high-performance open-source object-relational database management system. It can hold databases as large as 32TB, with virtually unlimited rows.

Flask is a “lightweight… web app framework” in Python. It is designed to be simple but extensible; making it easy to learn, while simultaneously allowing experienced web developers the freedom to integrate the tools they prefer.

spaCy is a powerful, feature-rich, open source Natural Language Processing (NLP) package in Python. It is excellent for quickly processing large volumes of text data, and picking out useful information.

Demand forecasting could be described as the use of predictive analytics to estimate the expected demand for goods and services. It is mostly applied in industries with volatile products to minimise, or potentially eliminate losses.