Store managers came in early to close yesterday's orders. Automation moved that overnight—and 45 people stepped into new roles.
A US-based manufacturer of residential outdoor and recreational equipment sold in approximately 100 countries, operating nine company-owned retail stores alongside its global distribution business.
Teams across retail, HR, customer service, and accounting spent hours each day on repetitive administrative tasks: store managers manually closed and...
“Lifetime started our AI journey quite a while ago, more than a couple of years ago. We began with out-of-the-box agents and that's evolved into more custom agents, particularly with Copilot Studio.”
Manufacturer of polyethylene furniture, sheds, and outdoor recreation equipment.
Helped Lifetime establish initial AI use cases, governance, technical architecture, and practical roadmap.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Lifetime Products's Operations automation is part of this use case:
Related implementations across industries and use cases
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Rapid growth to 18 branches left information scattered and coordination done by hand. AI agents handle the lookups; staff stay on customers.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Store managers came in early to close yesterday's orders. Automation moved that overnight—and 45 people stepped into new roles.
A US-based manufacturer of residential outdoor and recreational equipment sold in approximately 100 countries, operating nine company-owned retail stores alongside its global distribution business.
Teams across retail, HR, customer service, and accounting spent hours each day on repetitive administrative tasks: store managers manually closed and...
“Lifetime started our AI journey quite a while ago, more than a couple of years ago. We began with out-of-the-box agents and that's evolved into more custom agents, particularly with Copilot Studio.”
Manufacturer of polyethylene furniture, sheds, and outdoor recreation equipment.
Helped Lifetime establish initial AI use cases, governance, technical architecture, and practical roadmap.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Lifetime Products's Operations automation is part of this use case:
Related implementations across industries and use cases
Complex multi-tab spreadsheets limited early bots. Now, an extraction pipeline structures this data for AI to reliably resolve queries.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Rapid growth to 18 branches left information scattered and coordination done by hand. AI agents handle the lookups; staff stay on customers.
Scattered data across 47 countries buried teams in manual checks. Now, role-specific AI agents automate verifications to speed decisions.
Quality reviews dragged for weeks, gated by a handful of specialists. Now employees build agents that move them through in about an hour.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Managing documentation across 65 sites bottlenecked a central team. Now, Claude synthesizes data and coaches local directors on compliance.
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.