Demand & inventory
Reduce stockouts
Anticipate product demand and plan replenishment before stock runs low.
Anticipate demand, manage costs and plan capacity with forecasts that stay up to date. Get clear answers when it’s time to make a decision.
Sales · next 4 weeks
12,480units
Demand rising
What this means
Prepare stock for higher promotional demand and fewer missed sales.
Behind the forecast
Sales trends and the promotion calendar point to rising demand. Check stock levels and supplier lead times before ordering.
Based on: Sales history + promotion calendar
How it works
Agentic forecasting connects your data, business goals and an AI agent. You set what to predict, how far ahead to look and when to update. Your agent handles the forecast and answers your questions.
Choose what to forecast and the business priorities to consider.
Updates your forecast with new data on your chosen schedule.
See what’s ahead. Ask questions before making your next decision.
Built for business decisions
Demand & inventory
Anticipate product demand and plan replenishment before stock runs low.
Energy & utilities
Forecast consumption to plan supply, purchasing and operating costs.
Manufacturing & capacity
Match production plans and available resources to expected orders.
Revenue & cash flow
See potential cash shortfalls early as revenue, payments and spending change.
Workforce & service
Align staffing with expected workloads to maintain service through busy periods.
Operations & maintenance
Anticipate service needs and schedule people and parts around operations.

Analysis on demand
See which trends and assumptions are changing your forecast.
Use forecast ranges to prepare for different outcomes.
Explore scenarios before committing budget or resources.
We use agentic forecasting to describe a continuing, goal-directed workflow. You set the question, data, horizon, assumptions and evaluation criteria. An AI agent coordinates the forecasting work, refreshes it at the intervals you choose, and provides analysis when you ask. The brief carries forward as new data arrives.
Start with historical observations of what you want to predict, such as sales, energy use, production or service requests. Add relevant context: promotions, weather, prices, calendar effects or operating constraints. The data sources, quality checks and connections are defined around your use case.
You define the interval: hourly, daily, weekly, monthly or a custom schedule. We match that cadence to how often your source data changes, the forecast horizon and the decision you need to make. You can also request analysis between scheduled updates.
Yes. Ask what changed since the last forecast, which patterns or assumptions contributed to the outlook, or how a different scenario could affect it. Your agent provides analysis in the context of your original brief, with the supporting data and limitations made clear.
Forecasts are estimates. A useful forecasting workflow includes prediction ranges, explicit assumptions and checks against observed results as they become available. We agree the evaluation criteria with you and design the output to make uncertainty and data limitations visible.
Your next planning decision
Tell us what you need to forecast.
We’ll build the agent around your business.