Business Situation

V2 Retail had built one of India’s fastest-growing retail networks, but its HR infrastructure hadn’t kept pace. The company had developed payroll routines, attendance processes, and reporting structures over the years of rapid expansion. Still, none of these existed in a unified, digitized form accessible across the organization.

Each store operated somewhat independently, leaving HR data fragmented by location. Attendance was tracked at the store level with no centralized view. Payroll was processed in spreadsheets, creating compliance risks for PF, ESI, and TDS calculations across a multi-state workforce. Recruitment had no structured pipeline: job openings, applicant tracking, and offer management were handled informally. Employee transfers, promotions, resignations, and full-and-final settlements were each managed through separate, largely manual processes.

Before committing to a custom build, V2 Retail evaluated off-the-shelf HRMS solutions. The products they reviewed offered broad feature sets but were designed as generic platforms rather than built around the specific workflows, compliance requirements, and operational realities of a multi-location Indian value retail chain. What V2 Retail needed was not a product to adapt to, but a system built to match how they worked.

Key requirements included:

  • Building a centralized employee management system giving HR a single source of truth for headcount, profiles, and lifecycle status

  • Designing attendance and leave workflows suited to a distributed, store-led operations model, including geo-fenced attendance for field staff

  • Automating payroll processing with built-in statutory compliance for PF, ESI, and TDS

  • Creating a structured recruitment pipeline from job opening to candidate onboarding, with a public-facing careers page

  • Digitizing the complete employee lifecycle from onboarding through separation and full and final settlement

  • Providing a self-service portal for employees and role-based dashboards for managers, HR, finance, and leadership

  • Embedding AI capabilities for resume parsing, candidate scoring, HR query handling, and analytics