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Petlibro Data, Technology Stack, and Enterprise Applications
CRM
Vendor
Previous System
Application
Category
Market
VAR/SI
When
Live
Insight
YMMA Legacy YMMA Platform Customer Support CRM n/a 2024 2024
In February 2024, Petlibro implemented the YMMA Platform from Yuma AI to automate e-commerce customer support workflows. The deployment focused on Customer Support operations across North America, aligning with CRM-driven ticket handling and automated resolution for online orders. The implementation centered on Support AI capabilities within the YMMA Platform, automating product troubleshooting, subscription management, and WISMO flows. Configuration combined conversational triage, machine learning driven resolution paths, and end to end case orchestration to reduce manual routing and handoffs. Operational coverage tied the YMMA Platform into subscription lifecycle and order tracking workflows to power automated status updates and where is my order inquiries. Governance updated support workflows and established escalation gates and monitoring dashboards to manage the new automated flows. Outcomes reported include achieving approximately 79% full automation and cutting full resolution time by about 30 percent for the automated use cases.
IT Decision Makers and Key Stakeholders at Petlibro
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Apps Being Evaluated by Petlibro Executives
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FAQ - APPS RUN THE WORLD Petlibro Technographics

Petlibro is a Retail organization based in United States, with around 380 employees and annual revenues of $118.0 million.

Petlibro operates a diverse technology stack with applications such as YMMA Platform, covering areas like Customer Support.

Petlibro has invested in cloud applications and AI-driven platforms to optimize efficiency and growth, collaborating with vendors such as YMMA.

Petlibro recently adopted applications including YMMA Platform in 2024, highlighting its ongoing modernization strategy.

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Our research team continuously updates Petlibro’s profile with verified software purchases, vendor relationships, and digital initiatives identified from public and proprietary sources.

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