One composable platform. Nine interoperable modules.
Every client starts with the base modules and activates complexity as needed — keeping the software lean, relevant and cost-effective.
Site-Level OPEX
The universal core. It builds budgets from "Price × Quantity" operational drivers rather than generic GL averages — so every line is defensible.
How it adapts
- Retail: cleaning, electricity and floor staff per square meter.
- Construction: site security, fencing and equipment rental per project phase.
- Manufacturing: factory overheads and utility usage per production line.
Three kinds of AI, each doing the job it is actually good at.
AI in Mantle is not a chatbot bolted onto the side of a budget. Each technique is applied where it genuinely beats a person working through a spreadsheet — and every output stays yours to accept, adjust or reject.
Large Language Models — build and shape the budget
Talk to your budget in plain language. "Take last year’s costs and add 5%" or "flex the Cape Town shift pattern to a six-day week" — the LLM populates and reshapes the lines with you, instead of you keying them in cell by cell.
Budget populationMachine Learning — forecast your volumes
Volume drives everything downstream in a Price × Quantity model. ML learns from your own sales history, seasonality and actuals to propose volumes by SKU, site and month — which your team then accepts, adjusts or overrides.
Volume forecastingRegression — optimise shifts and logistics
Regression models search your labour and distribution data for the least-cost answer: shift patterns that cover demand without stacking up overtime, and logistics plans that move the same volume for less.
Cost optimisation