Specifications/Technical Information
CrowdANALYTIX
CrowdANALYTIX
service concept
AIautomatesproduct information management, pricing, and inventory optimization for a large number of products exceeding tens of thousands of SKUs
These
Resolving the labor shortage in core operations directly linked to conversion in EC site management
[Effects] Operation speed improvement/accuracy improvement/elimination of personalization/guarantee of business continuity
*1CVR: Conversion Rate = Percentage of site visits that lead to purchase
Before and after by introduction
Features of CrowdANALYTIX
Track record of adoption by major e-commerce and retailers
- Service provision and operation experience for major overseas and domestic companies
Click here for case study
Seamless integration into existing systems and operations
- Customized development according to in-house data structure and business process
- Provision of services via APIs, dashboards, etc.
Freedom from system maintenance
- SaaS-type AI. No in-house system/AI model maintenance required
- Maintaining accuracy that can withstand operation through continuous accuracy monitoring and model correction
Accurate and scalable model development
- Model development utilizing a community of over 25,000 data scientists with various specialties according to the type of problem
- High-speed development and expansion through parallel work
- Adopt the best method from multiple AI models
4 solutions
Automation of product registration work
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Extract images and text from various data and convert them into structured data
Improved searchability
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- Realization of a site where users can find products they really want, reflecting user needs
- On your own EC site, if you can't present the search results of the appropriate products for the customer's search, it will lead to the loss of sales opportunities. Also, if this situation continues, customers will switch to purchasing from other companies' sites due to a decrease in customer satisfaction, which may lead to an outflow of the customer base.
- AI analyzes the data and recommends appropriate attribute items, product names, product categories, etc., to realize an EC site that leads to conversion. To do
auto pricing
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- Regularly check competitive prices and set competitive/advantageous pricing
- Pricing/Change Automation Mechanism to Support Increasing Number of Products
- 価格判断の標準化(工数削減、属人化排除)
- Sales increase due to price change
demand forecast
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Demand forecast for new products
- Even if there is no past sales record, it is possible to forecast demand using product attribute information.
- 従来の人手での経験・勘の予測から脱却し、精度向上を実現
Demand forecast for existing products
- Achieves demand forecasts with higher accuracy than manual forecasts, including various factors such as past orders, sales performance, product attribute information, and weather.
- Real-time performance is also realized
- Predictions can be made at a fine granularity for each store/product category, etc.
- Based on the forecast results, place orders with the aim of avoiding excess inventory or out of stock.
Document download / On-demand video
White papers and case studies
What is the trick to mastering AI?
Mr. Yusuke Komatsu Yusuke Komatsu, former Amazon Japan GK EC site manager, explains tips for maximizing EC site sales based on his own experience.
[Utilization of important attribute scoring AI service] Expanding product information that leads to purchases that reflect user needs by scoring important attributes using AI
[Utilization of product category automatic assignment service] Breaking away from individualized work and speeding up product registration by making full use of advanced AI technology
CrowdANALYTIX enables automatic assignment of highly accurate product categories
video on demand
Key points of EC site management
Useful for daily business, such as "What is the improvement of the customer's shopping experience on the EC site? / How to think and what to promote / How to become the EC of choice and lead to sales maximization" We will deliver the contents.
[Guest] Mr. Yusuke Komatsu Yusuke Komatsu, Former Amazon Japan GK EC Site Manager
We will introduce the process of correctly grasping the improvement points of your company's site based on data, not the experience and intuition of the person in charge.
[Guest] Mr. Yusuke Komatsu Yusuke Komatsu, Former Amazon Japan GK EC Site Manager
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