I will build a sales forecasting web app for your Shopify or WooCommerce store using Machine Learning
Service Description
Stop guessing how much stock to order next month. I will build you a custom demand forecasting tool trained directly on your store's order history.
What you get:
Upload your Shopify or WooCommerce CSV export — no reformatting needed
A machine learning model trained on your actual sales patterns
A 7 to 90 day demand forecast with a visual chart
Weekly and monthly sales pattern analysis
Top products ranked by revenue and units sold
Inventory reorder alerts — know exactly when and how much to reorder
A downloadable forecast CSV for planning and reporting
Why it works:
The model learns your store's specific patterns — weekday vs. weekend behavior, seasonal spikes, holiday surges — and factors all of this into the forecast automatically.
Perfect for:
small e-commerce store owners, Shopify sellers, WooCommerce merchants, and Amazon FBA sellers who want data-driven inventory planning without paying for expensive SaaS tools.
Technology Used
Python, Scikit-learn, and XBoost model
Frequently Asked Questions
What format should my data be in?
CSV, Excel (.xlsx), or Google Sheets — any of these work perfectly. If your data is messy or incomplete, I'll clean it as part of the project.
I have very little data. Can you still build a model?
I recommend at least 3–6 months of historical sales data for reliable predictions. If you have less, message me first and I'll advise you honestly.
Can you forecast for a specific product or region?
Absolutely. Just share your dataset with those columns, and I'll build the model around your specific business needs.
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