Plan Smarter,
Perform Stronger:
AI Demand Forecasting
That Fuels Growth
Say goodbye to guesswork. With demand forecasting, businesses cut stockouts by 65% and boost customer retention by 25%. From inventory to staffing to marketing, demand forecasting turns reactive decisions into proactive strategies.
Ready to transform your business? Check out the full use case to see how AI-powered forecasting can drive results.
Dive into our
real-life use case
With a leading POS provider, where AI
takes demand forecasting to the next level, delivering:
365-day
revenue predictions
Real-time
sales analysis
Data-driven
decision-making
TESTIMONIAL
MobiDev’s skilled engineers have consistently met my high expectations. I went from 5 engineers to over 50, allowing us to compete with industry giants like Square, Micros (Oracle), and Aloha (NCR). Thanks to MobiDev, SmartTab stands as the most robust and reliable software in our space.
Daniel Baron
CEO & Founder of SmartTab
Get the Full Case on Turning Demand Forecasting Into a Real Business Driver
FAQ
AI integrates diverse data sources such as weather, local events, and sales history, reducing forecasting errors by 20–50% compared to spreadsheets.
Businesses can achieve up to 65% fewer lost sales, 20–50% inventory reductions, and 25% higher customer retention.
AI demand forecasting module was integrated into its POS system, enabling 365-day revenue predictions, anomaly detection, and detailed product-level demand analysis.
The system used gradient boosting ML models, time series analysis, Python/Flask/FastAPI backend, Vue.js frontend, and AWS cloud infrastructure.
Retail, hospitality, and any industry with variable demand patterns can use forecasting to optimize operations and improve customer experience.