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Hard-to-capture new visitors
Traditional processes often require customers to wait until checkout to be guided to become members; if customers only browse without making a purchase, the brand struggles to maintain the interaction.
OMO Smart Spaces
Make physical spaces smarter with
Make physical spaces smarter with
connected AI service
Connect online search, knowledge bases, LINE, interactive displays and robots so customer intent can continue from planning to the physical location.
Online Search + On-site Reception
Multilingual Product and Venue Knowledge
Robots/Interactive Screens
Hidden Challenges
Physical stores still lose valuable signals
Walk-in visitors may leave without joining a membership program. Service quality varies by staff experience, and peak periods create conflicts between consultation and checkout.
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Inconsistent service quality
With a large number of products, rapid information updates, and differences in training time and individual experience, the completeness and quality of on-site explanations can easily vary.
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Limited staff during peak hours
During peak hours, the number of staff is limited, making it impossible to simultaneously respond to product inquiries, provide shopping guidance, and handle checkout; customers can only wait or leave on their own.
Knowledge in Action
Standardize service without removing the human touch
Integrating product, service, promotion, and venue information into a shared knowledge layer not only serves customers but also acts as a work assistant and training platform for store employees.
Employee knowledge assistant
Pain Points:With numerous and rapidly updated products, it's difficult to remember all the information. Employees can use natural language to instantly query specifications, differences, and recommendation methods, improving response efficiency and professionalism.
Interactive training
Transforming existing knowledge into interactive Q&A and contextual learning allows new employees to practice according to standard content, reducing repetitive training costs and shortening the learning curve.
Product consultation and promotion guidance
Connecting the knowledge base to robots or interactive screens provides product consultation, promotional guidance, venue navigation, and basic interaction, alleviating frontline service needs.
Smart Reception
Online search + on-site robots form an integrated reception system.
Customers don't need to know the correct product name or location beforehand; they only need to state their needs, and the AI can understand their intent, search for relevant information, and then provide further guidance through on-site equipment.
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Instant Greeting and Initial GuidanceProactively greet customers at the store, introduce services, identify needs, and complete basic customer flow management.
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Smart Q&A Reduces Manpower BurdenSupports multilingual and multi-brand product knowledge, assisting in answering frequently asked questions on-site.
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Enhanced Store Interaction Improves ConversionProvides product, counter, and activity recommendations based on needs, increasing customers' opportunities to continue exploring and making purchases.
RetailersProviding knowledge on products, services, promotions, and store operations
NUWA RobotResponsible for interaction, customer attraction, and frontline product recommendations
Cobinyiu AIIntegrating knowledge, semantic search, and application scenario development
Smart Reception
From welcome to recommendation and navigation
AI reception can provide initial guidance, answer common questions and recommend the next action. Retail, exhibitions and tourism spaces can each apply the same foundation differently.
Retail product and counter guidance
When customers proactively inquire about products, AI analyzes their needs and provides counter navigation, and can recommend related products and offers based on product and inventory data.
Exhibitor and solution matching
When guests state their needs, AI instantly searches and matches exhibitors, helping to quickly locate target booths and becoming an all-weather business development assistant.
Personalized tourism recommendations
Based on traveler preferences, language, and current context, the robots dynamically recommend attractions, restaurants, and activities, providing travel guidance that is more tailored to individual needs than standard maps.
Customer Stories
AI that moves from the screen into the real world
In Odawara, LINE guidance and an on-site robot connect travel planning with local discovery. At Akachan Honpo, multilingual product knowledge helps international shoppers ask questions in familiar language.
Odawara Underground Shopping Mall | OMO (Online-Merge-Offline) Tourism
Odawara multilingual tourism guide
We collaborated with Odawara City, Japan, integrating LINE's portable digital tour guide with the underground shopping mall's tour guide robots. Whether planning their trips online or searching for attractions and restaurants on-site, travelers can receive personalized suggestions and navigation in their familiar language.
Read the Odawara case
Aka-chan Honpo | Cross-linguistic retail services
Akachan Honpo multilingual retail guidance
Taking the shopping scenario of Chinese-speaking tourists as an example, AI can understand natural language needs, providing real-time cross-linguistic searches, product suggestions, and on-site guidance, reducing communication barriers between foreign tourists and Japanese product information, and creating a more user-friendly shopping experience.
Read the Akachan Honpo case
Akachan Honpo, Tokyo, Japan| Experience the multilingual search and on-site service of the AI guide robot from the perspective of a Mandarin-speaking tourist.
Watch on YouTube ↗
Plan an OMO experience for your space
We can map visitors, service questions, devices and data into a practical pilot.