Axonify
The frontline enablement solution that actually works.
Overview
Axonify is a microlearning and employee enablement platform designed for frontline workers. While not a traditional loss prevention tool, it is used by retailers to reduce shrink by improving employee knowledge and behavior. Through gamified, bite-sized training modules delivered daily, companies can educate associates on topics like identifying theft, proper cash handling, and adhering to safety procedures. By making learning engaging and continuous, Axonify helps build a culture of awareness and accountability that contributes to loss reduction.
β¨ Key Features
- Microlearning & Gamification
- Personalized Training Paths
- Frontline Communications
- Behavioral Analytics
- Task Management
- Mobile-first Platform
π― Key Differentiators
- Focus on frontline employees and their specific learning needs
- Proven ability to change behavior and drive business results through its learning methodology
- Adaptive learning engine that personalizes content for each individual
Unique Value: Reduces loss by proactively building the right behaviors in frontline employees through engaging, continuous training that actually sticks.
π― Use Cases (5)
β Best For
- Increasing employee knowledge and confidence in handling LP-related situations.
- Driving consistent execution of operational best practices across the frontline.
π‘ Check With Vendor
Verify these considerations match your specific requirements:
- Organizations needing data analytics, video surveillance, or case management
- Companies looking for a tool to investigate specific incidents of theft
π Alternatives
Instead of being a reactive tool for catching theft, Axonify is a proactive solution that addresses a root cause of shrinkβlack of employee knowledge and engagementβby creating a more aware and capable workforce.
π» Platforms
β Offline Mode Available
π Integrations
π Support Options
- β Email Support
- β Live Chat
- β Dedicated Support (Varies tier)
π Compliance & Security
π° Pricing
Free tier: NA
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