Driving Operational Excellence at Stellar Concepts

Case Study

(Chili’s & Cinnabon)

Driving Operational Excellence at Stellar Concepts

(Chili’s & Cinnabon)

Stellar Concepts transformed operations by digitizing SOPs, inspections, and corrective actions with Oditly. Within four years, inspections surged from 378,904 in 2021 to over 1 million in 2024. Units expanded from 3 to 58, and corrective actions consistently exceeded 90,000+ raised and closed annually by 2024. With Oditly, frontline teams embedded QA, sanitation, and financial discipline into daily routines, while managers accessed real-time operational visibility.

Stellar Concepts (Chillis, Cinnabon)

Stellar Concepts is a leading F&B operator in India, managing renowned brands like Chili’s and Cinnabon. The company runs diverse formats including dine-in restaurants, kiosks, and bakeries, with a strong focus on quality, compliance, and customer experience.

Oditly

Oditly is a next-generation operations and compliance platform that helps hotels, resorts, restaurants, and retail brands digitize inspections, automate corrective actions, and provide managers with real-time visibility. With mobile-first checklists, analytics dashboards, and automated issue tracking, Oditly empowers teams to execute processes with consistency and agility across all locations.

Stellar Concepts aimed to:

Scale inspections across brands and formats for daily compliance visibility.
Automate corrective actions to drive accountability.
Embed QA, sanitation, and maintenance routines into everyday workflows.
Empower managers with real-time data for proactive decision-making.

The Journey with Oditly

Oditly onboarded all Stellar Concepts outlets in under two weeks. The Oditly team digitized SOPs, created checklists, scheduled inspections, and configured analytics. Training was delivered across all brands, ensuring quick adoption.

Seven core functions were transformed:

Line Checks – Kitchen, Bakery, Bar, Barista, Pastry, Kiosk.
Cleaning & Sanitation – FOH, BOH, kitchens, and kiosks.
Planned Maintenance Schedules (PMS) – Daily to annual cycles.
Financial Controls – Brand-specific financial day-end checklists.
Training & Development – Culinary evaluations and staff training forms.
QA & Food Quality – QA, coffee quality, and culinary checks.
Audits & Safety – Corporate visit forms, audits, GM restaurant safety, TEF.

The Scale of Operational Transformation

Annual Inspections Completed

Annual inspections grew from 378K in

2021 → 1M+ in 2024, a 183% increase in 3 years.

Year	Inspections Completed
2021	378904
2022	403781
2023	658147
2024	1072729
2025	769797 (YTD)

Corrective Actions Automatically Initiated

Corrective actions surged from 45K in 2021 → 95K in 2024, showing doubling of operational accountability.

Year	Corrective Actions Completed
2021	45847
2022	52895
2023	59891
2024	95472
2025	58504(YTD)

Locations Using Oditly

Scaled from 3 units in 2021 →

58 units in 2025, a 19x expansion in just 4 years

Year	Locations Using Oditly
2021	3
2022	28
2023	40
2024	54
2025	58(YTD)

Corrective Actions Completed

Closure efficiency kept pace: 39K closures in 2021 → 91K in 2024, clearly proving a strong compliance culture overall.

Year	Corrective Actions Completed
2021	39429
2022	47077
2023	54501
2024	90699
2025	55579(YTD)

Inspection Scale: From 378,904 in 2021 to 1,072,729 in 2024.
Wider Adoption: Expanded from 3 to 58 units across Chili’s, Cinnabon, and PAUL.
Corrective Action Efficiency: 95,000+ actions raised in 2024; 90,699 resolved the same year, showing strong compliance.
Real-Time Visibility: Task, check, and corrective action data accessible instantly.
Operational Consistency: QA, sanitation, PMS, and financial routines executed daily across outlets.
Workforce Alignment: Training and evaluation ensured new staff quickly adapted to standards.

Looking Ahead

The next phase of Stellar Concepts’ journey with Oditly will focus on:

Sustaining 95%+ corrective action closure rates.
Using analytics to predict and prevent compliance gaps.
Benchmarking brand compliance trends across multiple formats.
Expanding AI-driven predictive maintenance and workforce optimization.

Case Study