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Mizantra

Understand the factory before designing the system

SAK combines enterprise software experience since 2008 with hands-on fastener manufacturing experience since 2015. Practitioner judgement defines the process and its exceptions before Mizantra is configured. We map the solution, make responsibilities explicit and support realistic testing, role-based training and adoption.

Discuss your factory's challenges

Connected manufacturing operations illustration

An operations-first manufacturing operations system

Mizantra combines ERP transaction control with production execution. It connects management, finance, sales, purchasing, stores, vendors and the shop floor in one controlled operating environment.

It follows the operational chain from purchasing and receipt through inventory, production, quality, sales, dispatch, warranty and service—replacing fragmented spreadsheets and disconnected approvals with traceable actions.

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The office, stores, vendors and shop floor—connected

ERP Control

Controlled transactions across finance, procurement, sales and stores.

Production Execution

Job, material, workstation, output and quality activity on the shop floor.

Workflow Automation

Approval and exception workflows designed around the operating process.

Management Intelligence

Operational dashboards, pending actions and drill-down visibility.

Governed AI

Data-grounded recommendations with context, guardrails and approval gates.

Internal operating example: controlling outside processing

This example explains the judgement behind the workflow; it does not claim a universal financial outcome.

1. Diagnose the control gap

Vendor-held material, partial returns, scrap and inspection evidence can leave stores, quality and accounts with different answers.

2. Agree the improved process

Define identity, quantity, ownership and evidence at issue, receipt, inspection and reconciliation before payment proceeds.

3. Support it in Mizantra

Record vendor WIP, multiple outputs, raw-material return, scrap, line-level quality and charge reconciliation in one accountable flow.

Twelve connected capability areas

Governance & Master Data

Roles, permissions, approvals, audit history and controlled masters.

Procurement & Spend

Requisitions, purchase orders, receipt, supplier actions and payables context.

Inventory & Traceability

Warehouses, movements, issues and batch, serial or UID history.

Sales, Dispatch & Service

Quotation, sales order, dispatch, warranty and after-sales service.

Planning & Shop Floor

BOMs, routings, job orders, material issue, WIP and completion.

Outside Processing

Material outward, vendor WIP, receipt, return, scrap, QC and charges.

Quality Management

Incoming and production inspections, rejection, NCR and evidence.

Maintenance & Assets

Preventive activity, breakdowns, work orders, spares and asset history.

Finance, HR & Configuration

Transaction context, workforce workflows and market-aware configuration.

Dashboards & Value

Exception views, operational drill-down and evidence-linked benefits.

Integrations & Automation

Configured connectors and workflow rules subject to technical validation.

Documents, Reports & Mobile

Attachments, printouts, reports, exports, notifications and responsive access.

Designed around manufacturing control

Factory-shaped workflows

The data model follows physical material and production events, not generic CRM records.

End-to-end traceability

Receipt, stock, production, dispatch, warranty and service can share one evidence chain.

Quality in the operation

Inspection, NCR and supplier-quality actions sit inside the operating record.

Control by design

Permissions, maker-checker controls, approvals and audit history support accountability.

Implementation ownership

Diagnosis, configuration, role-based testing, training and adoption are treated as one programme.

Implementation

Diagnose. Prioritise. Configure. Adopt. Measure.

Mizantra is configured around the agreed operating model and verified through representative end-to-end scenarios before controlled go-live.

Claims are evidence-led.
Live workflow acceptance, configured integrations, multi-plant operation and outcome measures are validated for each implementation; they are not presented as universal guarantees.