Fraud Detection & Support technology combines advanced AI with expert human oversight to identify suspicious activity, prevent fraudulent transactions, and enable rapid response when issues arise. Safeguard operations while maintaining a seamless customer experience.
Provides a single, centralized platform for tracking customer complaints, return-site infractions, and system warnings for suspicious or abnormal activity. With customer support assignment rules, number of days unresolved tracking statistics, and automated email reminders, it streamlines resolution workflows for faster response times. All relevant order data - customers, return points, clerks, and drivers-is linked in one spot, ensuring any issue can be quickly identified, delegated, and resolved.
Features a built-in approval mechanism with configurable thresholds for transactions, like lost bag credits or customer account adjustments, that require finance or manager sign-off. By enforcing structured oversight, strong operational controls are maintained, minimizing errors, and protecting against unauthorized activities.
Leverages automated system analysis of consumer and clerk behaviours - including IP access, bag counts, images, and return patterns-to detect fraudulent returns or theft. Low bag counts and unusual consumption patterns trigger instant notifications for follow up investigations.
Efficiently logs and manages consumer complaints-including missing bags or count discrepancies-directly through the app, with instant confirmations and clear follow-up actions. The system identifies and tracks problematic returns, such as hazardous materials or contamination. It also gathers valuable consumer insights about return-site cleanliness, staff interactions, and overall satisfaction, enabling proactive improvements and consistently high service standards.
Cross-checks bag counts across customer submissions, driver pickup logs, and clerk processing with images.
Blocks multiple accounts from using the same phone number, email, or address to prevent abuse.
Restricts logins outside approved zones to prevent suspicious activity.
Multiple methods to confirm user identity during transactions and sign-on.
View full account history including complaints, refunds, infractions, and pickup patterns.
Advanced algorithms to evaluate transaction risk levels.
Tracks return activity by depot clerks to detect abnormal logins or volume spikes.
Monitors device IDs and IP addresses to flag abnormal or high-risk account access.
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