8,000 daily service tickets, manual review couldn't scale. Now AI reasons through evidence, flagging only complex cases for humans.
A Türkiye-based global technology company delivering electronics and home appliances to over 160 countries, reviewing around 8,000 after-sales service tickets a day.
Ticket records include unstructured evidence like technician notes, images, videos, and documents, with evaluation criteria varying by product group,...
“Built on AWS, the solution is designed to automate up to 80 percent of eligible tickets, routing complex or ambiguous cases to human reviewers.”
Manufacturer of consumer electronics and home appliances.
Collaborated with Vestel to develop an AI solution for quality control on AWS.
Cloud computing platform and on-demand infrastructure services.
Vestel's Quality control checks is part of this use case:
Related implementations across industries and use cases
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
Seasonal ticket waves overwhelmed agents. An AI chatbot now resolves most issues, cutting peak daily tickets from a potential 7,500 to 1,250.
Auditors spent six hours manually preparing each review. Models now validate evidence, freeing experts to focus on analysis.
Scattered across legacy systems, mid-market banks bore big-bank regulations. Constantinople runs the platform so banks run the business.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
Multiple staff, one spreadsheet, inconsistent logs. Staff now describe incidents; AI classifies each, improving with every game.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.
8,000 daily service tickets, manual review couldn't scale. Now AI reasons through evidence, flagging only complex cases for humans.
A Türkiye-based global technology company delivering electronics and home appliances to over 160 countries, reviewing around 8,000 after-sales service tickets a day.
Ticket records include unstructured evidence like technician notes, images, videos, and documents, with evaluation criteria varying by product group,...
“Built on AWS, the solution is designed to automate up to 80 percent of eligible tickets, routing complex or ambiguous cases to human reviewers.”
Manufacturer of consumer electronics and home appliances.
Collaborated with Vestel to develop an AI solution for quality control on AWS.
Cloud computing platform and on-demand infrastructure services.
Vestel's Quality control checks is part of this use case:
Related implementations across industries and use cases
Technicians faced long wait times for support. Now, an AI assistant queries manuals and IoT data instantly to speed up repairs.
Customers sifted through marketing pages for specs. AI agents now interpret intent to surface technical data, ending dead-end searches.
Seasonal ticket waves overwhelmed agents. An AI chatbot now resolves most issues, cutting peak daily tickets from a potential 7,500 to 1,250.
Auditors spent six hours manually preparing each review. Models now validate evidence, freeing experts to focus on analysis.
Scattered across legacy systems, mid-market banks bore big-bank regulations. Constantinople runs the platform so banks run the business.
Passive demos left the value of AI analytics abstract. A Cloud Lab where customers ran real tasks in their own data made it concrete.
Manual follow-ups and time zone gaps delayed global buyers. Now, a 24/7 AI agent instantly personalizes multilingual conversations.
Multiple staff, one spreadsheet, inconsistent logs. Staff now describe incidents; AI classifies each, improving with every game.
Equipment faults left technicians hunting for technical data while machines sat idle. A chatbot now puts the answer in their hands.