Integrate product images and product information on GCP. Automate operations from upload to information retrieval.
This is a case study of building a data infrastructure for retail and distribution chains by the HBLAB group. To display product images in the shopping cart, we integrated distributed images and product information on GCP. We established image storage in Cloud Storage, reflected metadata in Firestore, and organized information retrieval from the management screen and app. If you would like detailed case materials, please contact us through the inquiry form with the message "Request for product image data infrastructure case materials," and we will send you a PDF from the person in charge.
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basic information
Scope of implementation: Image storage in Cloud Storage, updating product codes, categories, and image links in Firestore, user addition, permission assignment, management screen for product listings, and retrieval of images and associated information. Technology: GCP, Golang, Terraform, Python. Development period: 1 month. Staffing structure: Infra PM 1, Golang developer 1, BrSE 0.2.
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Delivery Time
※The development period for the published case is one month. This does not indicate the delivery date for new projects.
Applications/Examples of results
The original materials and official cases report on the integration and expansion of databases with reduced initial costs, as well as time and personnel savings through automated operations from upload to information retrieval. The reduction rates and sales impact figures are not published. The implementation scope of this case is the Cloud/Data infrastructure.
Company information
HBLAB Japan Co., Ltd. is the Japanese subsidiary of HBLAB, which has a development base in Vietnam, providing IT offshore development, DX consulting, core system development (such as intra-mart), and AI system integration for the Japanese market.
