Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
FULL KAITEN is a cloud-based inventory analytics platform for retail companies, with the core goal of “minimizing inventory and maximizing gross profit.” It uses existing inventory and sales data to forecast sell-through speed by SKU, helping companies decide which products should be transferred, replenished, discounted, or kept on sale. According to the official website, it has been adopted by more than 200 brands, mainly in retail, covering sectors such as apparel, general goods, eyewear, footwear, sporting goods, home appliances, and accessories.
Based on the available materials, the product is not positioned as a general-purpose BI tool, but rather as a closed-loop system for inventory actions: visualizing inventory status across all SKUs, automatically diagnosing inventory risks, generating inter-store transfer instructions, calculating warehouse shipment quantities, supporting sales price change / discount-rate decisions, and improving stockout and excess-inventory issues. Multiple case studies mention that analyses previously dependent on Excel and individual experience can be replaced by AI forecasting and list generation, turning questions such as “where to move stock, how much to move, and when to adjust prices” into operational instructions.
The main materials do not disclose plans, pricing, contract terms, or billing metrics, nor is there any public information about a free version. Case studies mention test implementations, PoCs, trials, and “annual usage fees,” suggesting that pricing is more likely enterprise sales-based. The deployment model is clearly cloud service. Key procurement information such as self-hosting options, security and compliance, permission systems, and API documentation is not reflected in the main materials.
Its strengths are a strong industry focus and substantial case-study disclosure. It directly addresses issues such as uneven inventory distribution across stores, stockouts, slow-moving inventory, ineffective transfers, and unreasonable discounts. It can also improve collaboration among DB, MD, and store managers while reducing reliance on individual know-how. Its weaknesses are that public materials are relatively marketing- and case-study-driven, with limited hard SaaS selection information on pricing, integrations, security, permissions, and APIs. In addition, implementation results depend heavily on the quality of a company’s sales/inventory data and its ability to execute operational changes.
FULL KAITEN is suitable for retail brands that operate stores, EC, and warehouse inventory, especially those with many SKUs, complex stock transfers, and a heavy Excel-based analysis workload. It is particularly relevant for apparel and lifestyle retail. It is less suitable for small merchants with simple inventory structures or those that only need basic purchase-sales-inventory management. Access from China, payment support, and localization are not specified in the main materials, so they should be considered unknown. Domestic alternatives can be evaluated by scenario, including retail ERP, OMS/WMS, BI, and inventory optimization solutions such as 伯俊, 聚水潭, 观远数据, 有赞, and 微盟.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on full-kaiten.com official site.
full-kaiten.com is an Japan AI Apps provider. TG4G tracks its product information, an overall rating of 8.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach full-kaiten.com directly.