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.”
Global manufacturer of televisions, mobile devices, and home appliances.
TCL's Manufacturing automation is part of this use case:
Related implementations across industries and use cases
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
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.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.
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.”
Global manufacturer of televisions, mobile devices, and home appliances.
TCL's Manufacturing automation is part of this use case:
Related implementations across industries and use cases
Data scattered across 350 interfaces bottlenecked service. An autonomous AI agent now resolves 73% of cases using unified product manuals.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Developers hand-coded complex business logic from scratch. Now, 2,000 engineers use AI to generate it directly from detailed design docs.
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.
Programming robots took hundreds of hours. Using digital twins, engineers now train precise tasks in half a day.
Fragmented legacy platforms took weeks to scale. Now, AI routes emails by intent while unified desktops let agents resolve issues faster.
Legacy HR systems delayed insights by weeks as post-offer dropouts hit 30%. Now, an ML model flags at-risk candidates daily.
Manual underwriting and billing created operational bottlenecks. AI now automates submissions and policy checks, freeing brokers for advisory work.
Reviewing handwritten, unstructured documents took handlers up to an hour per claim. Now, AI extracts and validates data automatically.