Shopify app development, AI integration, EC solutions. Anonymous case studies from real projects showcasing our technical capabilities and implementation approach.
In manufacturing facilities, new workers required extensive manual study and long-term training to master complex procedures. With veteran worker shortages, real-time on-site guidance was difficult. Quality inconsistency and productivity decline were critical issues.
A J-League club official store needed to integrate diverse product categories including uniforms, apparel, fan gear, lifestyle items, and collaboration products. Required comprehensive platform with pre-order system, inventory tracking, collection management, newsletter, and blog.
A professional soccer club official store needed a strategic bundle sales system to increase average order value for uniforms and merchandise. Required automation for complex promotions like "2025 uniform + 2024 uniform set discount".
An office and gaming furniture retailer needed to manage complex product variations combining frame colors (black, gray, white) with seat fabrics (5+ color options). Prices ranged from ¥6,600 to ¥76,890 based on features (armrests, headrests), requiring inventory synchronization with physical showroom.
A lumber company managed orders via phone, fax, and Excel, leading to frequent order errors, inventory discrepancies, and delivery delays. Real-time inventory checking and automatic ordering were impossible while handling diverse lumber types.
A furniture and interior design business needed to transition from traditional product-based e-commerce to a reservation-based service platform for in-store consultations. Required a complete booking system with calendar integration, group size selection, and payment processing.
An asset management firm spent excessive time responding to customer inquiries and internal information searches. Required instant accurate answers about investment products, market trends, and management policies, while expert staff resources were limited.
Japanese merchants required complex shipping logic beyond Shopify native capabilities - conditional rates based on product type, customer location, order value, and time slots. Standard solutions could not handle multi-variable calculations.
Japanese consumers expect precise delivery time slot selection (morning/afternoon/evening). Shopify checkout does not natively support delivery date/time selection, causing customer service burden and delivery failures.
Restaurants needed unified system for in-store pickup and delivery orders on Shopify platform. Different fulfillment flows required separate UX and backend logic while maintaining single inventory.
Corporate buyers and gift senders needed to ship single orders to multiple addresses (5-100+ destinations). Standard Shopify checkout supports only one shipping address per order.
Merchants needed raw customer and order data for external analytics tools, CRM systems, and marketing platforms. Shopify native export limited to CSV with no automation or custom field selection.
Event organizers wanted to use Shopify for ticket sales but needed check-in functionality, QR codes, and capacity management. Standard product sales flow does not support ticketing use cases.
Membership-based retailers needed different purchase buttons/CTAs based on customer tier (member/non-member, VIP/regular). Generic "Add to Cart" does not convey membership benefits or restrictions.
Japanese retailers using domestic CRM system needed automated customer data sync from Shopify. Manual export/import caused data lag and errors. No existing connector for this specific Japanese CRM.
Merchants wanted comprehensive loyalty program - points for purchases, referrals, reviews, social shares. Needed tiered membership (Bronze/Silver/Gold) with benefits. Native Shopify has no loyalty capabilities.
Merchants wanted to increase average order value (AOV) by displaying "¥X more for free shipping" messaging. Standard Shopify themes do not show dynamic cart-based incentives.
Generic product recommendations (bestsellers, related products) did not drive conversions. Merchants needed personalized recommendations based on browsing behavior, purchase history, and similar customer patterns.