STEP 1
Place product groups
Decide where product blocks should be placed on the page and at what size.
AI Design
Trademark registered / patented
Is catalog productionand layout workbecoming the bottleneck?
AIDesign predicts optimal placement from product information such as images, names, prices and specifications, then automatically generates catalogs.
Layout workload: greatly reducedExpression quality: stabilized by brand rulesData linkage: connects with PIM / DB
AI opens a new door for product proposals
Pain Points
Do these production issues feel normal?
Production quality depends heavily on individual staff experience
Every price, SKU or specification change creates rework
Layouts cannot keep up with promotion timing
Print, web and EC expressions are inconsistent
Past catalog know-how is hard to reproduce as reusable rules
Solution
What AIDesign does
AIDesign learns placement rules from existing paper and digital catalogs, then outputs optimal placement information such as position, size and structure for new product information.
STEP 2
Arrange elements inside blocks
Arrange product names, prices, images and specifications with appropriate hierarchy and alignment.
Reproduce sales-oriented presentation, not generic automatic generation
Product Overview
AI Design catalog and workflow
Automatically generate optimal layouts from product and sales information learned by AI
AI Design catalog example
Generate catalogs tailored to customers.
Recommend products based on search results such as sales, customer age, gender and genre.
Workflow
Production workflow using AI Design
Features
Features
Increase production speed without destabilizing quality
Reproduce skilled human layout decisions with AI and mass-produce standardized presentation.
Strong against updates because product information is the source
Because PIM, database or CSV information is the starting point, price and specification changes can be reflected more easily.
Turn existing catalog assets into training data
Convert layout know-how hidden in past paper catalogs, PDFs and images into reusable assets.
Easy expansion to both print and digital channels
Support print layouts and structured output for web publication in multi-channel operations.
How it works
How It Works
1
Learn
Extract product blocks and elements such as names, prices and images from existing catalogs and accumulate placement information.
2
Predict
When new product information is provided, AI predicts optimal placement information.
3
Generate
Automatically place products according to predicted placement information and output catalogs.
Use Cases
Use Cases
General catalogs and standard catalogs
Place large SKU volumes efficiently. The effect grows with repeated production.
Flyers and campaign booklets
Support short deadlines and repeated production.
B2B catalogs
Maintain consistency across specifications and spec tables.
Unified expression for EC and web listings
Link print and digital presentation.
FAQ
FAQ
Can AIDesign learn from existing paper or PDF catalogs?
Yes. Paper and digital catalog assets can be used as training data.
Where does product information come from?
We design the integration around your current PIM, database, CSV or other management method.
Is it fully automatic, or can designers adjust the output?
The workflow can be designed around automatic generation while preserving rule settings and final adjustment. Company-specific rules can be reflected instead of leaving everything to AI.
Can security requirements be supported?
We propose access control and operation design according to requirements. Details are handled individually.
From production work to a production system.
Scale catalog production with AIDesign
Trademark registration and patented technology support long-term implementation and expansion with a system that is difficult to imitate.