Digital Transformation Solutions for Omni Retail
Omnichat's Online-Offline Merging (OMO) system realizes accurate matching of online traffic with offline manpower through intelligent routing algorithms. The technical architecture consists of three key components: 1) an LBS-based store recommendation engine; 2) a service staff competency assessment model; and 3) a real-time inventory inquiry interface. For example, when a customer inquires about a certain lamp on Instagram, the system will assign a professional consultant nearby and synchronize the display of inventory and experience appointment slots in nearby stores.
Operational data shows that retail customers using the OMO solution realize: 1) offline arrival rate increased by 2,30%; 2) cross-channel purchase frequency increased by 1.8 times; 3) average unit price increased by 65%. a home furnishings brand through the function, the rate of conversion of website inquiries into store experience from 12% to 41%, the average monthly sales growth of a single store ¥ 15 million. The average monthly sales of a single store increased by ￥15 million.
This answer comes from the articleOmnichat: The AI tool that integrates multi-platform chat to boost sales and serviceThe
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