Mentana

Mentana builds ML demand forecasts from sales history and external drivers like weather and economic indicators for ERP and planning teams.

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What Mentana is

Mentana is a demand forecasting product positioned as a “Demand Intelligence Layer” for ERP-linked planning. The site describes it as a way to build machine learning forecasting models from sales history and adapt them with real-world factors such as weather and the economy.

Its Demand Forecasting Studio is designed to help teams replace spreadsheet-based forecasting with automated models, scenario planning, and downstream planning outputs such as procurement plans or production schedules. The product page also highlights an AI Agent that explains forecasts in plain English inside the spreadsheet and the Studio.

Core capabilities

Custom machine learning models

Build tailored forecasting models trained on your own sales history so forecasts can reflect business-specific patterns instead of a generic spreadsheet approach.

Automatic forecast pipeline

Run forecasting on a reusable automatic pipeline that retrieves data, continuously learns, and generates forecasts on a scheduled basis.

Curated external data

Add external demand drivers from within the platform, including weather, holidays, tariffs, exchange rate, and inflation rate.

Collaborative scenario planning

Test different business conditions such as promotions through scenario planning to understand how controllable factors change demand.

Procurement and production planning

Turn forecasts into a procurement plan or production schedule using stock on hand, incoming shipments, and supplier lead times.

AI explanations

Use the Mentana AI Agent inside the spreadsheet and the Studio to explain forecast outputs in plain English.

Common use cases

Forecast product demand
Use historical sales data and external factors to produce forecasts that are more suitable for inventory, planning, and budgeting decisions than manual spreadsheet work.
Plan procurement and production
Feed forecast outputs into procurement or production dashboards to identify upcoming excesses and shortfalls based on stock on hand, incoming shipments, and supplier lead times.
Run what-if scenarios
Simulate promotions or other controllable factors to see how demand changes under different conditions before committing to a plan.
Explain forecast outcomes
Have planners or analysts inspect the AI Agent’s plain-English explanations to understand the reason behind a forecast and communicate it to others.

Pros and Cons

Pros

Uses the customer’s own sales history to train forecasting models.
Includes external drivers such as weather, holidays, and economic indicators.
Automates forecast generation on a recurring schedule.
Adds scenario planning and planning outputs for procurement or production.
Provides plain-English explanations through the AI Agent.

Cons

The available evidence does not show pricing, plan tiers, or a self-serve checkout flow.
Integration details are only described at a high level; specific connected systems are not named in the collected pages.

FAQ

What does Mentana do?

Mentana is presented as a demand forecasting product that helps teams build machine learning models for product demand and then run them on an automatic forecast pipeline. The site also describes an AI Agent that explains forecasts in plain English.

Who is Mentana for?

The site frames Mentana around demand forecasting for organizations using ERP or spreadsheet-based planning. It is shown alongside product pages for Demand Forecasting Studio and Mentana AI Agent.

What kinds of data can it use?

The page says Mentana can include external drivers such as weather, holidays, tariffs, exchange rate, and inflation rate within the platform. It also says the initial deployment is integrated to existing systems.

How is Mentana priced?

No pricing details are shown on the available pages, and the /pricing path returns a 404 in the collected evidence. The site does offer a Book a Demo flow.