Tag: retail
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Sales Forecasting: tslearn, Random Walk, Holt-Winters, SARIMAX, GARCH, Prophet, and LSTM
The data science project involves evaluating various sales forecasting algorithms in Python using a Kaggle time-series dataset. The forecasting algorithms include tslearn, Random Walk, Holt-Winters, SARIMA, GARCH, Prophet, LSTM and Di Pietro’s Model. The goal is to predict next month’s sales for a list of shops and products, which slightly changes every month. The best…
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Unsupervised ML, K-Means Clustering & Customer Segmentation
The goal of this post is to describe the most popular, easy-to-use, and effective data-driven techniques that help organizations streamline their operations, build effective relationships with with individual people (customers, service users, colleagues, or suppliers), increase sales, improve customer service, and increase profitability. Customer Segmentation (CS) is a core concept in this technology. This is the…
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Top Fast-Growing Apps in 2023
The OKTA Business at Work report and blogs by Leon Zucchini discuss the fastest-growing and new app categories. Key trends include the growth of collaboration, communication, and travel apps, and the adoption of multi-cloud. Ten notable growing apps are Kandji, Grammarly, Bob, Notion, Prisma Access, Navan, GitLab, Ironclad, Terraform Cloud, and Figma. Emerging apps include…
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Comparison of U.S. Growth Stocks – 1. WMT
The U.S. labor market and consumer spending are robust despite economic challenges. Bank of America reports a 5.1% rise in credit and debit card spending in January. The focus is on A-rated growth stocks like Walmart Inc. (WMT), with promising metrics and technical indicators supporting a Strong Buy sentiment. Algo trading with DI shows successful…
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SARIMAX Forecasting of Online Food Delivery Sales
This article provides a beginner-friendly guide to understanding and evaluating ARIMA-based time-series forecasting models such as SARIMA and SARIMAX. It focuses on an QC-optimized SARIMA(X) model to forecast the e-commerce sales of a food delivery company. The post covers essential concepts, data processing, model comparisons, and insights. It also includes a comparison between SARIMA and…
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E-Commerce Data Science Use-Case
In response to the surge of online shopping, a Data Science (DS) based customer analytics platform focusing on customer profiling, sentiment analysis, and customer lifetime value prediction is being developed. This platform utilizes the Exploratory Data Analysis (EDA) pipeline employing the Python library, Pandas. The platform is capable of product recommendation, customer trend analysis, sales…
