AiPlex ORM – Frequently Asked Questions (FAQs)
Answers on ORM, negative results & identity safety
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Frequently Asked Questions
Better reviews, faster response cycles, and counterfeit-free product pages directly increase listing quality scores, improving both visibility and conversion rates.
ORM analyses return reasons, identifies recurring product or seller issues, and coordinates seller-level improvements while addressing negative feedback professionally.
Yes. AiPlex continuously scans for cloned sites, mirror domains, and fraudulent storefronts and takes action to remove them.
They often encounter counterfeit garments, unauthorized resellers, incorrect tagging, and fake size/quality reviews—all manageable through strict ORM monitoring.
Yes. ORM supports fact-based counter posts, community engagement, and platform-level interventions to contain impact and restore brand credibility.
Behavioural patterns, sentiment clustering, account history, and review velocity analysis help identify irregular or malicious review activity.
Yes. AiPlex monitors third-party seller ratings, delayed deliveries, fake packaging complaints, and misuse of brand name that can lower overall marketplace reputation.
ORM ensures real-time monitoring of skyrocketing queries, negative feedback, inventory complaints, and counterfeit spikes to protect brand reputation at scale.
Only reviews that violate platform policies can be removed. Others are addressed through empathetic responses, resolution workflows, and sentiment recovery strategies.
During loan drives, IPOs, new product launches, or app marketing, ORM ensures reviews, ratings, and sentiment stay positive—boosting campaign performance.
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