Demand forecasting studio icon
Demand Forecasting Studio

Upgrade from Spreadsheets with ML-Powered Demand Forecasting

Mentana's Demand Forecasting Studio allows manufacturers, wholesale distributors and retailers to forecast and manage demand using machine learning models, so you can take a proactive and data-driven approach to managing inventory.
Demand forecasting studio
The Problem

Overstocking is Costing Businesses

Unreliable forecasting leaves manufacturers overstocked, tying up working capital and incurring excessive holding and storage costs.

80%

of businesses suffer
 from overstocking

44%

of businesses total inventory
 was excess stock

The Issues with Manual Forecasting

Unreliable Forecasts
Forecasting demand manually leads to unreliable and inconsistent results, often leading to overstocking.
Hours Spent Forecasting
Forecasting demand manually is time consuming, taking hours each week and resulting in infrequent monthly forecasts.
Lack of Granularity
Manual forecasting makes it difficult to generate granular forecasts across location, supplier, category and SKU.
The Solution

Mentana's Demand Forecasting Studio

Book a Demo
Machine Learning Models

Fully Customizable Forecasting Models

Achieve greater forecasting accuracy and consistency with our proprietary machine learning technology that trains on your data and is tailored to your business context.
Automatically detect trend and seasonality
Support forecast for newly introduced SKUs and capture the cannibalization and substitution effects
Fully customizable forecasting models
Automatic Prediction Pipeline

Automated Workflow that Scales Efficiency

Save time with a reusable and automated forecast pipeline that retrieves data, continuously learns and generates forecasts on a pre-defined schedule.
Automatically import new data and export forecasts
Continuous learning retrains models on new data
Continuous back-testing that adapts and validates future performance
Generate forecasts at multiple granularity levels
Automated workflow that scales efficiency
External Data

Factor in External Demand Drivers

Improve forecasting accuracy by including relevant external factors that drive demand.
Add weather, holiday, events and commodity price data
Add economic data including tariffs, USD FX rate, interest rate, inflation rate and unemployment rate
All data provided for free in the Demand Forecasting Studio
Fully customizable forecasting models
Collaborative Scenario Planning

Simulate and Plan for Multiple Scenarios

Simulate different scenarios to understand and identify the conditions needed to achieve sales targets
Identify what promotions are required to achieve a target increase in demand volume and sales
Understand how different drivers and their combination influence demand for each scenario
Collaborate with stakeholders to ensure consensus
Fully customizable forecasting models
Implementation

Ready to Improve Your Demand Forecasting?

We'll help you implement machine learning-powered demand forecasting into your organization. Here's what you can expect in the first 4 weeks.
Today
Weeks 1-3
Week 4
Book a Demo
Discuss your challenges and we'll help outline a path to improve your demand forecasting.
Solution Workshops
We'll work with you to define your requirements to ensure a smooth, high-impact deployment.
Initial Deployment
Receive a deployment integrated to your existing systems, in a three month risk reduced period.
Today
Book a Demo
Discuss your challenges and we'll help outline a path to improved demand forecasting.
Week 1-3
Solution Workshops
We'll define requirements and scope to ensure a smooth, high-impact deployment.
Week 4
Initial Deployment
Receive a deployment integrated to your existing systems, in an initial three month access period.
All Solutions

Mentana's Machine Learning Solutions

Demand forecasting studio icon

Demand Forecasting Studio

Forecast and manage the future demand of products
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Customer Insights Studio

Predict customer actions and behaviours in the future
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FlexiBuild Studio

The all-in-one no code machine learning platform