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Cosmetic Sikn Care Clinic Data, Technology Stack, and Enterprise Applications
HCM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
KEKA Legacy KEKA Attendance Management Time and Attendance HCM n/a 2024 2024
In 2024, Cosmetic Sikn Care Clinic deployed KEKA Attendance Management to centralize biometric and mobile attendance across dozens of branches in its multi-location skin and hair clinic chain headquartered in Hyderabad, India. KEKA Attendance Management is a Time and Attendance application used to provide unified attendance capture and shift oversight across the organization, enabling standardized timekeeping and visibility for clinic operations. The implementation concentrated on the Attendance and Shifts modules, with Payroll reporting directly referenced and used to aggregate attendance records for payroll processing. Configuration included biometric device synchronization and mobile check-in capture that fed a centralized attendance ledger, plus shift scheduling rules and exception workflows to manage punctuality and coverage. These functional capabilities supported standard attendance validation, automated shift assignments, and operational reporting for HR and clinic managers. Governance and rollout were executed across dozens of branches to align clinic-level operations and HR processes, with centralized configuration of shift patterns and access controls for payroll reporting. The vendor case study explicitly cites module usage of Attendance, Shifts, and Payroll reporting and reports an 85% punctuality rate and a 45% productivity uplift after the rollout, outcomes recorded alongside the KEKA Attendance Management implementation.
Workforce Scheduling HCM 2024 2024
AI-Powered Application
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Zoho Corp. Legacy Zoho SalesIQ Chatbots and Conversational AI AI-Powered Application n/a 2021 2021
Collaboration
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Salesforce Legacy Slack Connect Collaboration Collaboration n/a 2022 2022
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Customer Engagement CRM 2018 2018
Customer Experience CRM 2020 2020
Marketing Analytics CRM 2022 2022
Tag Management CRM 2017 2017
PaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Transactional Email PaaS 2020 2020
Transactional Email PaaS 2020 2020
IaaS
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
Application Hosting and Computing Services IaaS 2018 2018
Application Hosting and Computing Services IaaS 2015 2015
Content Delivery Network IaaS 2019 2019
IT Decision Makers and Key Stakeholders at Cosmetic Sikn Care Clinic
First Name Last Name Title Function Department Email Phone
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Apps Being Evaluated by Cosmetic Sikn Care Clinic Executives
Date Company Status Vendor Product Category Market
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FAQ - APPS RUN THE WORLD Cosmetic Sikn Care Clinic Technographics

Cosmetic Sikn Care Clinic is a Healthcare organization based in India, with around 11 employees and annual revenues of $1.0 million.

Cosmetic Sikn Care Clinic operates a diverse technology stack with applications such as KEKA Attendance Management, Zoho SalesIQ and Slack Connect, covering areas like Time and Attendance, Chatbots and Conversational AI and Collaboration.

Cosmetic Sikn Care Clinic has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as KEKA, Zoho Corp. and Salesforce.

Cosmetic Sikn Care Clinic recently adopted applications including KEKA Attendance Management in 2024, KEKA Shift Management in 2024 and Slack Connect in 2022, highlighting its ongoing modernization strategy.

APPS RUN THE WORLD maintains an up-to-date database of Cosmetic Sikn Care Clinic’s key decision makers and IT executives, available to Premium subscribers.

Our research team continuously updates Cosmetic Sikn Care Clinic’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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