Demand Forecasting
Know what you'll need
before you need it.
NaviaLabs demand forecasting gives your procurement team 30, 60, and 90-day forward visibility per SKU — so you order the right quantities, at the right time, from the right suppliers.
The Problem
Planning inventory without demand intelligence is guesswork
Ordering based on last month's numbers or experience-based estimates creates a permanent cycle of under-stocking and over-stocking — often at the same time, on different SKUs.
Backward-looking decisions
Reviewing last month's sales to decide this month's orders ignores trends, growth, seasonality, and lead time. You're always buying based on where you were, not where you're going.
Long lead times need long range plans
When suppliers need 45–90 days notice, ordering based on current stock levels is too late. Without demand forecasts, procurement decisions are systematically delayed.
Seasonal peaks are always surprises
Without forward demand models, seasonal demand spikes result in emergency restocking at peak prices — exactly when competitors are also scrambling for the same stock.
Solution Capabilities
AI demand forecasting built for procurement teams
Rolling 90-Day Forecasts
AI-generated demand forecasts update daily per SKU, giving procurement teams a continuously refreshed 90-day view of what stock to buy and when to buy it.
SKU-Level Precision
Forecasts are generated at individual SKU level, not averaged across categories. Fast-movers and slow-movers are modelled separately based on their distinct demand profiles.
Seasonality Detection
NaviaLabs automatically detects seasonal demand patterns from historical data and builds them into forward forecasts — so seasonal buying decisions are intelligence-led, not gut-led.
Coverage Gap Alerts
When the forecast projects demand will exceed available stock before reorder lead time allows replenishment, NaviaLabs raises a coverage gap alert with recommended order timing.
Demand-Driven Reordering
Convert demand forecasts directly into reorder recommendations. Procurement teams see not just what to buy, but why — with the underlying demand data shown.
Forecast vs. Actual Reporting
Track forecast accuracy over time to identify which products and categories the AI models most accurately. Use this to refine planning and improve procurement timing.
How It Works
From historical sales to 90-day demand plans
Sales history ingestion
NaviaLabs ingests your sales and stock movement history. A minimum of 90 days generates baseline forecasts; 12+ months enables seasonal modelling.
Demand pattern analysis
AI analyses trends, growth rates, seasonality, and anomalies per SKU. Different demand patterns trigger different forecasting models — no one-size-fits-all approach.
Rolling forecast generation
30, 60, and 90-day demand forecasts are generated per SKU. Forecasts refresh automatically as new sales data arrives — no manual recalculation.
Coverage gap identification
NaviaLabs compares projected demand against available stock and incoming orders to identify when and where stock shortfalls will occur — weeks in advance.
Procurement recommendation delivery
For each identified gap, NaviaLabs surfaces a procurement recommendation with quantity, timing, and preferred supplier — ready for review and conversion to a purchase request.
Industry Use Cases
Demand forecasting for supply-constrained industries
Long lead-time procurement planning
When suppliers require 45–90 day lead times, demand forecasting isn't optional — it's critical. NaviaLabs provides the forward visibility to place orders at the right moment.
Production material alignment
Forecast raw material demand in line with your production schedule. Align procurement timing with manufacturing requirements to eliminate both shortages and excess safety stock.
Seasonal stock build planning
Identify demand peaks 8–12 weeks in advance. Build stock strategically before seasonal demand spikes — at better prices, with more lead time, and without last-minute scrambling.
Outcomes
Plan ahead. Stock right. Grow confidently.
FAQ
Common questions
How much historical data is needed?
90 days of sales history generates useful baseline forecasts. 12+ months enables reliable seasonal detection. Forecasts improve continuously as more data accumulates in NaviaLabs.
What if a product has never been sold before?
New products can use manual demand inputs, comparable product benchmarks, or category-based estimates as a starting point. AI forecasting activates automatically once sufficient sales history is available.
How does NaviaLabs handle demand spikes and anomalies?
NaviaLabs detects anomalies (promotions, one-off bulk orders, seasonal spikes) and allows users to mark them so they don't distort the baseline forecast model.
Can we export forecast data for use in other systems?
Yes. Forecast data can be exported to CSV format for use in ERP systems, production planning tools, or financial planning models.
See demand forecasts for your products — today
Import 90 days of sales history and see AI-powered demand forecasts per SKU in your demo session.