I will build a demand forecasting model, power bi inventory dashboard
Transforming Data Into Clarity, Insights, and Results
About this Gig
Running out of stock during a demand spike or sitting on inventory that won't move both cost you money and spreadsheets alone can't tell you which is coming next.
If you're tracking inventory manually and making reorder decisions on gut feel, you're either tying up cash in excess stock or losing sales to empty shelves.
I build the forecasting models and dashboards that give you that visibility, without the cost or complexity of enterprise software.
What you'll get:
A demand forecasting model built from your historical sales data using Python and statistical methods, so you can see what's likely to sell next
An interactive Power BI dashboard showing inventory levels, turnover rates, and reorder points at a glance
Clean, organized data I handle the SQL queries and Excel cleanup needed to make your raw data usable
A living dashboard you can keep using and refresh with new data, not a one-time PDF
Tools: SQL | Power BI | Python | Excel
I can work with wherever your data currently lives, so there's no need to switch systems for better forecasting.
Perfect for: small business owners, e-commerce sellers, and retailers who want data-driven inventory decisions without hiring a team.
Programming language:
Python
•
SQL
Frameworks:
Scikit-learn
•
SimpleCV
•
Keras
•
PyTorch
•
Panda
APIs:
Microsoft Computer Vision AI
Tools:
Jupyter Notebook
•
OpenCV
•
OpenNN
•
TensorFlow
•
Excel
•
MLflow
•
Colab
My Portfolio
Other Data Science & ML Services I Offer
FAQ
What format does my data need to be in?
Excel, CSV, or a SQL export all work fine — I'll clean and structure it as part of the project either way. If your data is spread across multiple files or systems, let me know in advance so we can scope that into the package.
My historical data is messy or only covers a few months. Will the forecast still work?
I can work with limited or imperfect data, but forecast accuracy improves significantly with at least 6-12 months of consistent sales history. With less data or inconsistent record-keeping, I'll be upfront about the confidence level of the forecast rather than presenting it as more precise than it i
Does this work for my specific industry?
The approach (forecasting demand patterns, tracking inventory turnover, flagging reorder points) applies across most product-based SME businesses, retail, e-commerce, distribution, light manufacturing. If your business has unusual seasonality or supply constraints, mention that upfront so the model
What if I need changes after delivery?
Each package includes revision rounds as listed above. Beyond that, I'm happy to take on additional revisions or ongoing updates as a separate, smaller-scope order.
Will I be able to use the dashboard myself afterward, or do I need you for every update?
You'll receive the Power BI dashboard file and can refresh it yourself once you understand how to swap in new data, I'll include basic instructions, and Premium includes a walkthrough call. If you'd rather not maintain it yourself, ongoing monthly updates can be arranged separately.
