Dhumi AI
Simplified gig workforce management for a high-volume hiring organisation
A provider of gig-based manpower for large delivery and logistics platforms, focusing on high-volume onboarding and tracking.
Initial State: Operations relied on fragmented tools and manual records, making performance tracking and scaling difficult.

Challenges
Key obstacles faced before implementing the solution
Worker details, assignments, and performance data were siloed across different platforms.
Inconsistent tracking of attendance and work completion.
Lack of a structured rating system for worker reliability, quality, or engagement.
Difficulties in workforce planning and deployment as volumes increased.
Need for a centralized system to ensure accountability and visibility.
Our Approach
How we planned and executed the solution
Methodology
Design of a custom digital workforce management system using Dhumi’s platform.
- 1
Structured core workflows for onboarding, assignment tracking, and attendance.
- 2
Introduced a performance evaluation and rating mechanism to track worker reliability.
- 3
Centralized all data to improve coordination between operations teams and field workers.
Key Improvements
structured tracking
Centralized management of worker details, assignments, and attendance in a single system.
performance visibility
Implemented reviews and ratings based on specific operational parameters.
deployment efficiency
Faster identification of reliable workers, leading to more effective manpower allocation.
Final Outcome
The results achieved after implementation
Summary
Transitioned from fragmented management to a structured, data-driven system.
Impact
Gig operations became more transparent and scalable, directly improving service quality for enterprise clients.