SmartAnalytics AI platform
A concept for AI-assisted demand forecasting that explains its predictions in plain language.
- Type
- Concept
- Year
- 2024
- Services
- AI & Machine Learning, Cloud & Database
This is concept work: a self-initiated design and engineering study by Hectagon, not a client engagement. It shows how we would approach the problem; it makes no claims about real-world results.
01Overview
SmartAnalytics is a self-initiated concept for retail demand forecasting that business teams can trust and act on.
02Challenge
Forecasts are only useful if people understand them. Black-box predictions get ignored.
03Approach
We paired a forecasting model with plain-language insights and per-category accuracy, so users see how much to trust each number.
04Solution
A forecasting dashboard with explained insights and accuracy tracking.
Actual versus forecast by week
Insights written in plain language
Accuracy shown per category
05Outcome
The concept set the pattern for how our AI work presents results: with sources, confidence and a clear next action.
06Key features
01
Demand forecasts
Weekly forecasts by category and store.
02
Explained insights
Why a forecast changed, in plain words.
03
Accuracy tracking
How reliable each forecast has been.
04
Alerts
Stock-out risks flagged early.
07Technology
- Python
- FastAPI
- PostgreSQL
- OpenAI