Full-Kaiten logo
0.0(0 reviews)
Software Status:Active
Web
Fukushima-ku, Osaka-shi, Osaka Fukushima Ward, Osaka City, Osaka.
Phone
All Countries

About Full-Kaiten

Full-Kaiten by Full-Kaiten is an inventory management and retail analytics platform designed to help businesses optimize stock allocation, improve sell-through rates, and maximize profitability.

Full-Kaiten Details

Vendor
Full-Kaiten
Year Launched
2012
Location
Fukushima-ku, Osaka-shi, Osaka Fukushima Ward, Osaka City, Osaka.
Deployment
cloud, web browser
Training Options
documentation, videos
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese
Users
Administrator, Warehouse Manager, Sales Manager, Accountant, Operations Manager
Industries Served
Retail, E-commerce, Warehousing & Distribution, Wholesale & Supply Chain / Logistics, Manufacturing, Apparel / Fashion Industry
Tags
Inventory Management, Full-Kaiten, Pentest Geek

Full-Kaiten's In-App Market Place

Does Full-Kaiten have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), GBP (£), EUR (€), JPY (¥), AUD (A$), CAD (C$), CNY (¥), INR (₹), RUB (₽), MXN (Mex$), SGD (S$), IDR (Rp), BRL (R$), KRW (₩), TRY (₺)

Pros & Cons

  • Significantly boosts gross profit margins by reducing unnecessary discounts and optimizing stock placement.
  • Effortlessly handles massive datasets, supporting companies with over 3 million SKUs without performance issues.
  • Eliminates manual data crunching, allowing staff to focus on creative tasks rather than spreadsheet analysis.
  • Uses two years of historical data to ensure AI predictions are grounded in actual consumer behavior.
  • Validated by over 200 major brands across diverse sectors like apparel, sports, and home appliances.
  • Requires clean, consistent sales, inventory, and product master data to function effectively.
  • Success depends on a setup period involving a dedicated customer success representative and process changes.
  • AI predictions are heavily reliant on past data, which may not account for sudden, unprecedented market shifts.
  • Moving from "individual craftsmanship" to AI-led decisions requires a significant shift in company culture.
  • Inter-store transfers, while optimized by AI, still require physical labor and shipping coordination to execute.

Full-Kaiten's Support Options

Contact

0661319388

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