Stop reacting to stockouts and overstock. MAIA AI predicts exactly what you need, when you need it — across thousands of SKUs simultaneously — so you can order smarter, stock leaner, and never miss a sale.
Two core capabilities that separate MAIA from every other demand planning tool on the market.
Unlike single-variable forecasting tools, MAIA simultaneously processes dozens of signals — from 3 years of sales history to live supplier lead times and public holiday calendars — weighting each signal dynamically per SKU. The result is a forecast that reflects the full complexity of real-world demand, not just a smoothed average of the past.
Every day, actuals are compared against the forecast. MAIA automatically recalibrates its models, improving accuracy over time without any manual intervention from your team. Unlike static forecasting tools that degrade after go-live, MAIA gets measurably sharper with every passing month of operation.
MAIA's four-stage pipeline turns raw business data into precise replenishment actions without any analyst bottleneck.
Historical sales, open orders, promotions, and external signals are continuously ingested and normalised into a unified data model.
MAIA's forecasting engine runs ensemble models across all active SKUs, dynamically weighting each input signal by its predictive relevance.
A rolling forecast with confidence intervals is produced for each SKU at daily, weekly, and monthly granularity — updated every 24 hours.
Replenishment recommendations, safety stock levels, and purchase order suggestions are pushed directly to your buyers and ERP system.
MAIA adapts its forecasting logic to the specific demand patterns, lead time structures, and risk profiles of your sector.
Seasonal demand cycles, markdown optimisation, and size-curve forecasting for high-velocity fashion inventory.
High SKU counts, long lead times, and multi-tier distribution structures handled with precision forecasting at every node.
Short shelf life, promotional demand spikes, and waste reduction modelling to keep freshness and availability in balance.
Regulatory minimum stock requirements, batch expiry management, and cold-chain replenishment planning built into every forecast.
Component demand linked directly to production schedules and BOM structures, eliminating line stoppages caused by material shortfalls.
Fast-moving trend detection, returns forecasting, and multi-warehouse stock positioning for high-velocity online retail operations.
Everything you need to know about MAIA's demand forecasting capability before you get started.