Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
A global technology manufacturer operating 40 production bases across 160 countries, currently holding third place worldwide in air conditioner sales volume.
To keep pace with global demand and produce 8 million units annually, the company needed to scale operations to manufacture one air conditioner every...
“Producing 100 million units is a landmark achievement that reflects the trust of customers worldwide. By using AI and smart technology, we remain committed to enhancing consumers’ quality of life while also contributing to a more sustainable future through energy-saving solutions and eco-friendly design.”
TCL's Manufacturing automation is part of this use case:
Global manufacturer of televisions, mobile devices, and home appliances.
Related implementations across industries and use cases
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Data silos at a 3,200-acre chemical site obscured safety risks. Co-designing digital twins let AI monitor 15,000 devices to flag hazards.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.
Building an air conditioner every seven seconds outpaced manual assembly. Now, 2,000 AI agents run three automated factories 24/7.
A global technology manufacturer operating 40 production bases across 160 countries, currently holding third place worldwide in air conditioner sales volume.
To keep pace with global demand and produce 8 million units annually, the company needed to scale operations to manufacture one air conditioner every...
“Producing 100 million units is a landmark achievement that reflects the trust of customers worldwide. By using AI and smart technology, we remain committed to enhancing consumers’ quality of life while also contributing to a more sustainable future through energy-saving solutions and eco-friendly design.”
TCL's Manufacturing automation is part of this use case:
Global manufacturer of televisions, mobile devices, and home appliances.
Related implementations across industries and use cases
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
Factory design was slow and siloed. Now, digital twins run thermal simulations 150x faster, validating global layouts in minutes.
Data silos at a 3,200-acre chemical site obscured safety risks. Co-designing digital twins let AI monitor 15,000 devices to flag hazards.
Manual workflows delayed global campaigns for weeks. Now, local teams use GenAI to instantly draft localized, regulatory-compliant copy.
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Fleet repair estimates took up to 48 hours. Autonomous agents now process them in 30 minutes, absorbing a 10x volume surge.
Specialists manually compared PDF data. AI now flags deviations and routes them via Teams, cutting processing from days to <4 hours.