Retail HR is a logistics problem disguised as an HR job. Shifts at store level, attendance across 30+ locations, demand spikes around Diwali and Onam, attrition at the cashier level. hrPLANR's multi-location attendance + AI demand forecasting make festival staffing a 30-minute task, not a 3-day fire drill.
Retail HR lives in attendance, leave, and demand forecasting. These three carry the load:
Each store has its own attendance roster. Geo-fenced check-in from the store premises · cross-store transfers tracked · per-location coverage at a glance. The regional manager sees all 12 stores in their region in one view; the store manager sees just their own.
Most leave systems treat leave as 'days off'. For retail, leave is 'cover required'. hrPLANR understands the difference: a leave request that breaks store coverage gets a different approval path than one that doesn't. State-specific holiday calendars (Karnataka Rajyotsava, Pongal, Onam, etc.) baked in.
Diwali week needs +28% staff. Onam in Kerala needs +35%. Pongal in Tamil Nadu needs +22%. AI demand forecasting reads your historical footfall + sales + staff coverage and tells you 6 weeks ahead what you'll need — and where the shortage will be.
The retail HR nightmare: Diwali week needs roughly 28% more staff than a regular week. If you start planning at the end of September, you're already short. AI demand forecasting reads last year's data + this year's trends and tells you, on 1st September, exactly which stores need how many extra hands.
Retail's statutory complexity is multi-state. Shops & Establishments Act varies state-by-state — we handle every one.
30-minute demo · we'll model your store network.