The best AI assistant for online home and garden stores

• Analysis of customer needs: AI can analyze visitor behavior in real time, including browsing history, preferences, and purchases, to offer them suitable furniture, decorations, or tools.

Product combinations: "Customer buys a garden table" - AI recommends decorative accessories that would perfectly complement it.

Virtual furnishing through augmented reality: Customers can point their phone camera at the room or yard and see how the new furniture or decoration will look in a real environment.

Interactive installation guide: With the help of AR, customers can see 3D elements that guide them step by step during assembly.

• Chatbots respond instantly to customer inquiries about availability, returns, exchanges, prices, and complaints.
• Example: A customer asks: "Do you have garden swings in stock?" The chatbot replies: "Yes, currently we offer 3 models. Would you like a link to the product page?"

• Multilingual Support: Chatbots support 95+ languages (excluding Chinese and Arabic), allowing businesses to serve international customers seamlessly and around the clock.

Real-time price optimization: AI analyzes demand, competition, seasonality, and other factors to adjust your product prices in real time. This enables quick and efficient optimization of the entire catalog, instead of manual updates taking hours.

Example: If the competition temporarily reduces the price of a barbecue set by 10%, the AI adapts your price to remain competitive while ensuring profit. After the competitor's offer runs out, the price automatically returns to the standard one.

• Demand Forecasting: AI can analyze data from sales history, seasons, market trends, and current demand to predict which products will be most sought after.
• Example: AI forecasts an increase in demand for garden furniture in spring and recommends increasing inventory as early as winter.

Inventory Management: AI optimizes warehouse space and reduces the risk of excess or shortage by providing advance notice of unusual changes in demand. Example: The system detects that the warehouse is nearly full of garden tools and suggests a temporary discount to stimulate sales.

Customers can upload a photo of furniture, accessory, or tool, or describe what they are looking for (e.g. "solar lamps for the garden"), and AI will suggest similar available items in the store.

Example: The client uploads a picture of a stylish wooden table, and the AI finds similar models in the catalog, recommending: "We found 3 similar tables within your budget." Or the client writes: "I'm looking for solar lamps for the garden." The system suggests the corresponding items with availability and prices.

Identifying New Trends: AI analyzes global trends and offers clients current styles, such as new concepts for sustainable indoor gardens or smart home devices.

Efficiency and Sustainability: AI discovers products that are environmentally friendly or energy-saving, responding to the increasing demand for green solutions. For example, intelligent lighting systems or organic fertilizers.

• Plant Recognition and Issues: Users can upload a photo of a plant and AI will identify it, diagnose diseases or pests, and provide specific advice for treatment.
• Example: recognition of fungal infections in tomatoes.

Consumer Education: AI creates articles, blogs, or videos that explain complex terms and provide useful tips, such as how to grow specific plants or how to maintain soil balance.

Natural Language Processing (NLP): AI analyzes customer reviews to identify issues with products or services, such as incomplete functionality of smart garden devices.

Improvement recommendations: Based on AI feedback, it can provide improvement suggestions or direct the issue to a specific department.