AI-Powered Forecasting

Predict Demand.
Optimize Stock.
Eliminate Waste.

Production-grade retail demand forecasting engine powered by Prophet & XGBoost. 7-day forecasts, smart reorder recommendations, and real-time risk alerts — all in one platform.

40%
Stockout Reduction
Forecast Accuracy95%
7-DayForecasts
22SKUs
10Stores
LIVE
PRODUCTION-GRADE
REAL-TIME ALERTS

Powered by Industry Leaders

Walmart
Prophet AI
XGBoost
FastAPI
Streamlit
MLflow
Walmart
Prophet AI
XGBoost
FastAPI
Streamlit
MLflow
Walmart
Prophet AI
XGBoost
FastAPI
Streamlit
MLflow
CAPABILITIES

Everything you need for demand intelligence

From raw data to actionable inventory decisions — a complete end-to-end pipeline built with FAANG-level engineering standards.

7-Day Demand Forecasting

Dual-model architecture using Facebook Prophet for time-series seasonality and XGBoost for gradient boosting — automatically selects the best model per SKU.

Smart Reorder Engine

Safety stock calculations with configurable service levels (95% default). Automatic reorder quantity recommendations based on forecast + safety stock − current inventory.

Risk Classification

Real-time inventory risk scoring: HIGH (< 3 days stock), MED (3-7 days), LOW (≥ 7 days). Color-coded alerts across every store-SKU combination.

REST API Backend

FastAPI-powered endpoints for forecasts, reorder recommendations, and alerts. Query by store, SKU, or risk level with JSON responses.

Telegram Notifications

Automated reorder alerts via Telegram bot. HTML-formatted messages with store, SKU, quantity, risk level, and inventory details.

Interactive Dashboard

Streamlit dashboard with 5 pages: Overview, SKU Analysis, Store Comparison, Analytics, and Full Inventory — all with Plotly visualizations.

PIPELINE

How it works

Six automated stages transform raw retail data into actionable inventory decisions.

1

Data Ingestion

Raw sales, calendar & pricing data from retail POS systems

2

Cleaning & Processing

Wide-to-long format, missing values, outlier handling

3

Feature Engineering

14+ features: lags, rolling stats, price changes, calendar

4

ML Forecasting

Prophet + XGBoost dual models, auto-select best per SKU

5

Inventory Optimization

Safety stock, reorder quantities, risk classification

6

Dashboard & Alerts

Interactive dashboards, API endpoints, Telegram notifications

REAL-WORLD IMPACT

Measurable results from day one

DemandIQ transforms retail operations with AI-driven demand intelligence that directly impacts the bottom line.

20-40%

Stockout Reduction

Fewer empty shelves means happier customers and higher revenue capture.

BEFORE
Frequent stockouts, lost sales
AFTER
Proactive reorders, near-zero stockouts
15-25%

Less Overstock

Precise demand forecasting eliminates excess inventory and markdown losses.

BEFORE
Overstocked warehouses, markdowns
AFTER
Right-sized inventory, minimal waste
50-70%

Labor Reduction

Automated forecasting replaces hours of manual spreadsheet analysis.

BEFORE
Hours of manual forecasting weekly
AFTER
Fully automated, real-time updates
10-20%

Cost Savings

Lower carrying costs, reduced waste, and optimized procurement cycles.

BEFORE
High inventory carrying costs
AFTER
Lean, data-driven operations
TECHNOLOGY

Built with industry-standard tools

Production-grade stack designed for reliability, scalability, and real-world deployment.

PythonLanguage
ProphetML Model
XGBoostML Model
FastAPIBackend
StreamlitDashboard
MLflowML Ops
PandasData
PlotlyVisualization
scikit-learnML
NumPyData
UvicornServer
Telegram APINotifications
DASHBOARD

Powerful analytics at your fingertips

5-page interactive dashboard with real-time forecasts, risk alerts, and inventory management across 10 stores and 22 product SKUs.

demandiq-aditya.streamlit.app
10
Active Stores
22
Total SKUs
8
High Risk
45
Orders Today
Sales Forecast — STORE-001 / SKU-MILK-001
← HistoricalForecast →
🔴 8 HIGH RISK🟡 12 MED RISK🟢 25 LOW RISK

Get early access to DemandIQ Pro

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