Know what your business will need next.
Demand forecasting across products, locations, seasons and promotions — with the drivers behind each forecast made visible.
What makes this hard today.
Demand is planned from last year plus a percentage, adjusted by whoever argues most convincingly in the meeting. Nobody can say which assumption the plan actually rests on.
Forecasts built on a single aggregate history line
Promotions and seasonality handled by manual override
Location-level demand hidden inside a national total
No visibility into why a forecast changed
The cost of deciding blind.
Every downstream decision inherits the demand number. Production plans, purchase orders, safety stock and staffing all start from it — so an unexamined forecast propagates its error through the entire operation.
Demand Intelligence
Veraius models demand at the level the decision is actually made: product, location and period. Seasonality, promotional lift, trend and known events are separated rather than merged, so the forecast comes with an explanation, not just a value.
Multi-level forecasting
Product, location, channel and period, reconciled against each other.
Seasonality & events
Recurring seasonal patterns and known calendar events modelled explicitly.
Promotion effects
Promotional lift separated from underlying baseline demand.
Driver visibility
Each forecast reports what moved it and by how much.
Accuracy tracking
Forecast versus actual monitored over time, by segment.
Growth & decline signals
Products entering growth or decline surfaced before the trend is obvious.
Connect. Understand. Predict. Decide. Act.
The same pipeline runs behind every solution: your systems are connected, the data is put in business context, the outcome is predicted, the decision is reasoned with its sources attached, and the result is carried into workflow.
ERP, POS, MES, WMS, CRM and IoT — into one place.
Operational data related and put in business context.
Demand, stock, production and performance, ahead of time.
Decision models and AI weigh the options with you.
Decisions executed through workflow and automation.
What changes in the way you work.
Planning starts from a defensible number rather than a negotiated one
Demand shifts are seen earlier, while there is still time to respond
Forecast disagreements become a discussion about drivers, not opinions
Less manual spreadsheet reconstruction each planning cycle
Where it is used in practice.
Weekly replenishment planning
Store- and SKU-level demand for the coming weeks, feeding replenishment directly.
Seasonal buying
Pre-season demand shape by product family, with the seasonal component isolated.
Promotion planning
Expected lift for a planned campaign, separated from baseline demand.
Production input planning
Finished-goods demand translated into the volume the plant should schedule.