Workforce Intelligence is the integration of biometric and face-recognition attendance, contract-labour management, multi-state payroll automation, Factories Act compliance registers, contractor billing, and operator-level productivity analytics into a single software platform — purpose-built for Indian and global enterprise manufacturers.
Traditional manufacturing workforce systems are heavily siloed. Biometric devices (Matrix COSEC, ESSL, ZKTeco, Honeywell) capture attendance but rarely talk to HRMS. HRMS (SAP SuccessFactors, Oracle HCM, Darwinbox) holds master data but cannot handle the contractor-heavy, multi-state, multi-statutory reality of Indian manufacturing. Payroll teams manually consolidate Excel sheets every month. Contract-labour billing is reconciled with paper muster rolls. Factories Act registers (Form 12, Form 14, Form 25) are typed up by hand. The result: 3–7% of total labour cost is lost annually to buddy punching, ghost workers, contractor billing errors, missed statutory deductions and untracked overtime.
A workforce-intelligence platform consolidates all of this into a single integrated stack. Face-recognition attendance (MobileFaceNet, ArcFace) at gates and lines captures every attendance event in 1–2 seconds without contact. Biometric devices are integrated via vendor SDKs. Contract-labour modules manage contractor onboarding, multi-state PF / ESI registration, monthly billing and reconciliation. Multi-state payroll automates PF, ESI, PT, TDS, Gratuity, Bonus and LWF calculations across 30+ Indian states. Factories Act compliance registers are auto-generated. Operator data correlates with MES output to compute true labour productivity by shift, cost-centre and product family.
The Ajinkya Technologies Ankastra platform manages 71,000+ employees across Indian enterprise manufacturers — including Hindalco Industries and JSW Steel — and is sold either bundled with the Ajinkya Technologies MES + IIoT suite or as a standalone workforce-intelligence platform for manufacturers who already have an MES. Typical workforce-leakage recovery is 3–7% of total labour cost in year one, with payback in under 12 months.