Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
One of the nation's leading retailers operating thousands of corporate-owned and franchised locations, recently expanding with an acquisition of over 3,800 stores requiring high-volume frontline staffing.
Store managers lacked the bandwidth to juggle retail operations with hiring logistics, leading to a slow process where applicants found other jobs...
“By the time candidates got scheduled, they had found jobs elsewhere.”
Global convenience store chain for food, beverages, fuel, and delivery.
Cloud platform for enterprise human resources, finance, and business planning.
7-Eleven's High-volume recruitment is part of this use case:
Related implementations across industries and use cases
Managers used personal phones to text thousands of applicants. Now, an AI screens candidates and books interviews directly into calendars.
Phone tag and manual scheduling buried store managers; candidates dropped before interviews. An AI agent now screens and schedules by text.
Mandatory logins and long web forms caused high drop-off. Now, frontline candidates apply in minutes via an AI chat assistant.
Managers used personal phones to text thousands of applicants. Now, an AI screens candidates and books interviews directly into calendars.
Phone tag and manual scheduling buried store managers; candidates dropped before interviews. An AI agent now screens and schedules by text.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
PDFs and emailed guides left field techs scrambling. Now QR codes on machines surface short, localized videos in seconds.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
One of the nation's leading retailers operating thousands of corporate-owned and franchised locations, recently expanding with an acquisition of over 3,800 stores requiring high-volume frontline staffing.
Store managers lacked the bandwidth to juggle retail operations with hiring logistics, leading to a slow process where applicants found other jobs...
“By the time candidates got scheduled, they had found jobs elsewhere.”
Global convenience store chain for food, beverages, fuel, and delivery.
Cloud platform for enterprise human resources, finance, and business planning.
7-Eleven's High-volume recruitment is part of this use case:
Related implementations across industries and use cases
Managers used personal phones to text thousands of applicants. Now, an AI screens candidates and books interviews directly into calendars.
Phone tag and manual scheduling buried store managers; candidates dropped before interviews. An AI agent now screens and schedules by text.
Mandatory logins and long web forms caused high drop-off. Now, frontline candidates apply in minutes via an AI chat assistant.
Managers used personal phones to text thousands of applicants. Now, an AI screens candidates and books interviews directly into calendars.
Phone tag and manual scheduling buried store managers; candidates dropped before interviews. An AI agent now screens and schedules by text.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
PDFs and emailed guides left field techs scrambling. Now QR codes on machines surface short, localized videos in seconds.
Phone scheduling took 3 days per candidate. An SMS agent now handles it end-to-end in 37 minutes, 24/7.