Thought Leadership for HR Superheroes![logo](data:image/png;base64,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)
Your one stop-shop for case studies, guides and reports
Explore and find everything you need to learn about Amber and inFeedo from us and our customers.
![Placeholder](/static/casestudy_Groupm_thumbnail-9ab1e0d5e9e4fa15a8faf670db3b054f.jpg)
GroupM
GroupM is one of the early adopters of Amber. With over 3000 employees, 160 + departments. Amber is the single source of truth for the talent partners.
![Placeholder](/static/casestudyresourcespumaV.1-ae9859f095755b85ff22674488630919.jpg)
Puma
Puma captures & acts on employee feedback, sees positive impact across 91% factors affecting employee experience.
![Placeholder](/static/casestudyresourcesmmtV.1-11ba45992a0784b985b637297bdcd02c.jpg)
Go-MMT
MMT (MakeMyTrip, Goibibo, Redbus) connects with 3000+ employees in real-time after amega merger.
![Placeholder](/static/SoniaMediacomCS-4031daadfb49caaa393ccc6748607db4.jpg)
Mediacom
MediaCom connects with 2000+ employees in real-time & achieves 33X ROI in employee engagement with Amber.
![Placeholder](/static/casestudyresourcesV.1-a1bd36f8212b944dd629ae6973da8b42.jpg)
Tata Cliq
Tata CLiQ adds AI to their engagement determination framework to prioritize & address each concern highlighted by employees.
![Placeholder](/static/casestudyresourcesaxaV.1-c32f724015d5fd4ed0993e1aeb3dc478.jpg)
AXA
AXA Affin complements bi-annual pulse surveys with AI & retains 78% at-risk employees.
![Placeholder](/static/casestudy_websiteandbranding-1607f6fe901f90f3622a3a0979432597.jpg)
ABInBev
AB InBev successfully drove up their annual employee engagement score to 90+ using Amber!
![Placeholder](/static/sodexo-cs-8844ad2f087e7253cd0845c06c7cf822.jpg)
Sodexo
Sodexo Retains 100% of At-Risk Employees with AI
![Placeholder](/static/casestudy_websiteandbranding-godrej-f371d9e8fa3ba6b9fe94178ef7c2584a.jpg)
Godrej
Godrej achieves almost 90% company-wide Response Rate with Amber!
![Placeholder](/static/caseStudy-websiteandbranding-03-322895117b64379fe12caf792690a57c.jpg)
Aboitiz Power
Aboitiz Power retained nearly 100% At-Risk employees by connecting with them during crucial milestones.
![Placeholder](/static/casestudy_sea_2-a02f87e6545f0d5994ab50bd0c8a9aba.jpg)
A multinational BFSI giant
With Amber, this global financial services giant scaled up organisation-wide Engagement score by 5% Each Year.
![Placeholder](/static/casestudyresourcesiiflV.1-cff532dee7233da16565768ef9f97d5b.jpg)
IIFL
India Infoline seamlessly connects with 19000+ employees across 1000+ locations & multiple business units.
![Placeholder](/static/casestudyresourcesaltV.1-9a68aa2048717d1e3b4ecb495734b227.jpg)
Altimetrik
Altimetrik connects with 1500 employees in real-time across 16 locations & saves 64% at-risk employees.
![Placeholder](/static/taidigitalcasestudy-b94ce4707ca13d461c5293838de271e8.jpg)
TA Digital
TA Digital builds an extraordinary bond of trust with employees
![Placeholder](/static/casestudyresourcescromptonV.1-60f8a1211700950565880f6fd0cdffb8.jpg)
Crompton
Crompton connects with employees across 19 branches & redefines its onboarding process as an HR KRA.
![Placeholder](/static/rahega-saba-5a6ba9fbbd5e65f346da279d748c3b69.jpg)
Raheja QBE
Amber captures Raheja QBE’s amazing employee experience
![Placeholder](/static/casestudyresourcespetroV.1-37362abb91b0f22ee0ab313c3a7fadd6.jpg)
Petrotec
Petrotec increases trust & transparency in the organization by ensuring each employee is heard.
![Placeholder](/static/casestudy_websiteandbranding-exg-14b3f2bc3767f052a9a3b5c6615a4def.jpg)
Express Global Logistics
Express Global realises 4X ROI on employee engagement with Amber!
![Placeholder](/static/casestudyresourcesdharafV.1-3cfdc6276eb91d3c67514ad59604c715.jpg)
SharafDG
Sharaf DG connects with 1500+ employees across UAE, Oman,Bahrain & Egypt, retains 88% employees predicted at-risk by Amber.
![Placeholder](/static/neelkamalcasestudy-88baaf5d444045c81555fb7fca339da6.jpg)
Nilkamal
Nilkamal decodes targeted people strategies using Amber's proactive intelligence
![amber](https://s3.amazonaws.com/assets.infeedo.com/amber/meet_amber_bottom.png)