AI-Enabled Human Resource Management System and Campus Management System for STEVTA
Expired Tender
⏰ Closing Date:
2026-01-02
2026-01-02
Tender Overview
- 📂 Category
- IT & Computer Equipment
- 🏭 Sector
- Services
- 📄 Tender Type
- Services
- ⚙️ Procurement Method
- National Competitive Bidding
- 📨 Submission Method
- Online portal
- 🌐 Source Name
- SINDH PPRA
Location & Dates
Contact & Websites
- 👤 Contact Person
- Incharge Procurement
- 📞 Contact Phone
- 99244112-7
- 🌐 Website
- www.epads.gov.pk
- 🔗 Original Source
- www.epads.gov.pk
Actions
🔗 View Original Advertisement
⬅️ Back to All Tenders
Looking for more tenders like this? View all active IT & Computer Equipment tenders.
Related Tenders
Solarization and E-library Equipment for Courts and Bar Tehsil Domail Bannu
Close: 2026-06-30 Bannu, Khyber Pakhtunkhwa
Robotic Tape Library Solution for Oracle ZDLRA Infrastructure
Close: 2026-07-02 Islamabad, Islamabad Capital Territory
Purchase of IT Equipment and Tablets for NOMES Exam at KHINAMS
Close: 2026-06-30 Rawalpindi, Punjab
Provision of 200 Mbps Internet Bandwidth from Tier 1 ISP
Close: 2026-07-06 Lahore, Punjab
Supply of IT Equipment
Close: 2026-07-06 Islamabad, Islamabad Capital Territory
Supply of ICT Equipment Including Network, Surveillance, Storage and Office Equipment
Close: 2026-06-26 Quetta, Balochistan
Tender Description
Sindh Technical Education & Vocational Training Authority (STEVTA) invites sealed bids from reputed IT firms for the implementation and support of AI-Enabled Human Resource Management System (HRMS) and Campus Management System (CMS). The project aims to digitally transform HR and academic operations across more than 300 STEVTA institutions in Sindh, enhancing efficiency, transparency, and AI-driven analytics.
The procurement follows a Single Stage – Two Envelope procedure with a bid submission deadline of 02 January 2026 at 2:00 PM via the EPADS online portal. The contract includes deployment, training, and 12 months post-go-live support with cloud-based, scalable, and secure solutions. Eligible bidders must have prior experience in large-scale ERP/HRMS/CMS with AI integration, and comply with detailed technical and financial criteria outlined in the tender documents.