Software Development
Kyros
Merchandising Intelligence Platform
The closed-loop merchandising platform that connects season planning, buying, allocation, in-season performance, and post-season learning in one system. No more spreadsheets, no more disconnected tools, no more guesswork.
Overview
Kyros is an enterprise merchandising management platform that closes the gap between planning decisions and execution reality. Retail merchandising involves billion-dollar decisions made months in advance — what to buy, how much, from which vendors, at which price points, for which stores. Currently, most brands make these decisions using disconnected spreadsheets, delayed ERP reports, and gut instinct. The result is excess inventory, missed opportunities, and profit leakage. Kyros connects the entire buying cycle into a single continuous system where every output feeds the next input. Learnings from each season's performance flow directly into the next season's planning defaults, creating a compounding advantage over time.
Who it's for
Kyros is designed for fashion and retail brands operating 50 to 500 stores who have outgrown Excel but cannot justify enterprise-tier solutions. This includes D2C fashion brands scaling beyond ₹50 crore, multi-brand fashion retailers, regional apparel chains, and international brands operating in India. The platform serves merchandising planners, buyers, allocators, and retail operations leaders who need to make better decisions faster without adding headcount.
Key Benefits
- Eliminate spreadsheet-based planning with a unified platform for the entire buying cycle
- Track Open-To-Buy position in real-time — updates within milliseconds when orders are placed
- Allocate inventory based on store performance, display capacity, and historical patterns
- Identify slow sellers early and take action before the markdown window passes
- Automatically surface products sitting in warehouse too long for allocation
- Carry forward learnings from each season to improve the next — the system gets smarter over time
- Access all functionality via documented REST API — no file drops or manual integrations
Use Cases
- Season planning with budget allocation across categories and clusters
- Range building with attribute-level style counts and prior season comparison
- Purchase order management with OTB validation and GRN reconciliation
- Store allocation based on grade, capacity, and performance history
- In-season performance monitoring with automated markdown recommendations
- Post-season analysis with actionable learnings that feed next season planning
Industries Served
- Fashion Retail
- Apparel & Accessories
- Multi-Brand Retail
- D2C Fashion Brands
- Regional Retail Chains