Resource Optimisation

Put the Right People & Stock in the Right Place - Every Hour

Stop flying blind. Use the data you already collect to predict demand, roster smarter and cut idle cost - automatically.

Optimisation ProcessLIVE DEMO

Current State: Manual scheduling with guesswork

How It Works

Watch our AI optimize your workforce in real-time

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Current State

Manual scheduling with guesswork

Step 1 of 4
Smart forecasts, smarter operations.Smart forecasts, smarter operations.
Resource decisions deserve forecasts backed by data, not gut feelings. Xplainable predicts demand down to the hour and automatically optimizes staff levels and inventory, so operations teams can cut costs while improving service.
Demand Forecasting
AI Scheduling
Inventory Control
Real-time
API Integration
Predict accurately – ML models forecast demand patterns at hourly granularity, not monthly averages.
Optimize automatically – our algorithms match resources to predicted demand, eliminating waste and shortages.
Deploy seamlessly – REST endpoints & live dashboards, with safety limits and human oversight built in.

Inventory & Supply Planning

Know what to order and when. Our forecasts reconcile at item, category and site level, so procurement sees the same numbers Ops trusts on the shop floor.

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SKU

Step 1 of 3

Individual Product Forecasts

Granular demand forecasts for each of 14 individual products. Each colored bar represents a specific SKU like milk, bread, apples, etc. This is the most detailed level of forecasting.

Demand-Driven Rostering

Our transparent Machine Learning models forecast demand down to the hour, then turn that signal into optimal shift patterns.

No spreadsheets, no guesswork.

Available Staff

Daily Cost:$624
Sarah Chen

Sarah

Mike Johnson

Mike

Emma Wilson

Emma

Alex Rivera

Alex

Priya Patel

Priya

James Lee

James

Lisa Brown

Lisa

David Kim

David

Sophie Martin

Sophie

Tom Davis

Tom

Rachel Green

Rachel

Chris Taylor

Chris

Nina Patel

Nina

Omar Hassan

Omar

Jessica Wu

Jessica

Ryan Scott

Ryan

Maya Singh

Maya

Ben Cooper

Ben

Schedule Board

8am-10am
Sarah Chen
Mike Johnson
Emma Wilson
3 staff
10am-12pm
Sarah Chen
Mike Johnson
Emma Wilson
3 staff
12pm-2pm
Alex Rivera
Priya Patel
James Lee
Lisa Brown
David Kim
Sophie Martin
6 staff
2pm-4pm
Alex Rivera
Priya Patel
James Lee
Lisa Brown
David Kim
Sophie Martin
6 staff
4pm-6pm
Tom Davis
Rachel Green
Chris Taylor
Nina Patel
4 staff
6pm-8pm
Tom Davis
Rachel Green
Chris Taylor
Nina Patel
4 staff

Adjust Forecasts with Subject Matter Expertise

Your team knows patterns the data doesn't capture. Adjust forecast splines with business rules to incorporate ground-truth expertise.

Business Rules

Click rules to see their impact:

Forecast Impact

Original
Adjusted

Frequently Asked Questions

Learn more about our beta program and resource optimization platform

What data do I need to get started?

What industries can benefit from resource optimization?

How accurate are your demand forecasts?

How long does implementation take?

What makes this different from other forecasting tools?

What kind of support do beta participants get?

Join the Beta Program

We're building these forecasting tools for teams like yours. Help us test them and get early access while we develop the product.

Test new features before anyone else
Tell us what works and what doesn't
Get help setting things up
Pay less when we officially launch

Request Beta Access