62. Construction of e-commerce for manufacturing industry (support for multiple SKUs)
Multiple SKUs make "product registration" a nightmare. We will build a sustainable manufacturing industry e-commerce system that includes product database design, search, and operations.
The most challenging aspect of e-commerce in the manufacturing industry is not payment or design, but rather "managing multiple SKUs." When the number of SKUs reaches thousands or tens of thousands, product registration, category design, search, model number management, and inventory integration become bottlenecks, causing e-commerce to become unusable. Furthermore, in B2B, factors such as pricing by client, minimum lot sizes, and delivery conditions overlap, and if you start without a design, it will inevitably fall apart. In this service, we first design a product database (attributes, categories, naming, update rules), incorporate easy-to-use search/filtering (facets), and build e-commerce in a way that operations can run smoothly. As a result, we create a state where even with multiple SKUs, products can be "searched for, purchased, and updated." ■ Service Offerings (3 points) 1. Product database design for multiple SKUs (attributes, categories, naming, update rules) 2. Search/filtering design (searchable by model number, specifications, usage, material, etc.) 3. E-commerce construction and operational design (including registration, updates, and inventory integration) Deliverables: A complete e-commerce solution for multiple SKUs (database design, search design, construction, operational guide) *Please share the SKU scale (e.g., 5,000/50,000) and product list (CSV is acceptable). We will build from the database design.
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basic information
■Provided Content Eliminate "failure points" of multiple SKUs in advance - Product names are not standardized (lack of naming conventions) - Attributes are inconsistent (search and filtering not possible) - Categories proliferate (cannot be searched or managed) - Images, drawings, and specifications are not linked (cannot be judged) - Inventory and delivery times are inconsistent (cause for complaints) Product DB Design (Most Important) - Classification of product types (parts/materials/consumables/equipment, etc.) - Required attributes (model number, standards, size, material, compatibility, usage, compatible models, etc.) - Granularity of attributes (balance between input load and searchability) - Naming conventions (display name/model number/internal management name) - Update rules (who inputs what and to what extent) Search and Filtering (Facet) Design - Usage, standards, material, size, compatible models, inventory, delivery times, etc. - Model number search (exact match/partial match/synonyms) - Zero results recovery (suggesting alternatives/guiding inquiries) Operational Design (Registration Process) - CSV bulk registration and update procedures - Management rules for images/drawings - Methods for updating prices and inventory (manual/integration) - Exception handling (made-to-order, case-by-case estimates)
Price information
2.8 million yen to 20 million yen (varies based on SKU scale, search/DB difficulty, and integration) - Small to medium scale (up to 5,000 SKUs, basic search/filtering): 4 to 8 million yen - Standard (5,000 to 30,000 SKUs, enhanced facets, operational maintenance): 8 to 14 million yen - Large scale (30,000 SKUs and above, complex attributes, core/inventory integration): 14 million yen and above * "Estimate required" notation recommended (to be confirmed after product DB design)
Delivery Time
※Minimum 3 months / Standard 4 to 8 months (varies with SKU and integration)
Applications/Examples of results
■Concerns Thinking that there are too many SKUs to implement e-commerce It’s meaningless if you can’t search by model number, specifications, or size Product categories are complex and not organized Requirements are not solidified as inventory and core system integration is a prerequisite Multiple people are responsible for updates, leading to inconsistent registration rules ■Deliverables Product database design document (attribute list, mandatory/optional, naming conventions) Category design (hierarchy, tags, usage classification) Search/filter design (facet items, UI, synonym dictionary) Product registration template (CSV format) E-commerce setup (Shopify, etc., depending on requirements) Inventory/price operation design (update flow) Operation guide (registration, updates, exception handling) Testing (searchability, purchase flow, exception cases) ■Purpose Building e-commerce that doesn’t collapse with many SKUs Improving CVR through ease of search (model number, specifications, usage search) Streamlining registration and update operations (eliminating dependency on individuals) Aligning inventory and pricing (reducing complaints) ■Examples of Achievements (format without company names) Parts × tens of thousands of SKUs × mandatory model number search → Improved searchability with attribute design + facets Consumables × many specifications → Resolved confusion with category/tag design Industrial materials × mixed make-to-order → Operationalized with exception (case-by-case quotation) flow
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