Microsoft Manufacturing Japan

FUJIFILM Business Innovation

Document Processing

“We conducted interviews with various departments, including sales, planning, procurement, after-sales service, and affiliated companies, about their business issues, and completed around 10 PoC projects, including spare parts supply and demand forecast, voice data text conversion, and many more. Then, we selected Cash Application as one of the most essential operations. As Cash Application had required a heavy manual workload and been partially outsourced, we concluded that the AI utilization would provide a significant return on investment,” said Fushimi.

Particularly at FUJIFILM Business Innovation, which handles more than 100 thousand receipts per month and as many as 1.2 million invoices per month, the workload demands tremendous amount of efforts.
Shin Sakaida from the Transformation Promotion Group, Service Planning Department, FUJIFILM Service Creative, who is in charge of the company’s contact center operations and invoicing, said, “The monthly process of linking 100 thousand cases of payment information to invoices requires considerable time and efforts, and during the busy end-of-month and beginning-of-month periods, the dedicated personnel alone could not handle the entire process.
The process is akin to linking 10 invoices out of 1.2 million invoices for each payment.
The project initiatives include implementing Dynamics 365 (Dynamics 365 for Finance and Operations, Dynamics 365 Customer Engagement) as the core system, and deploying Microsoft Azure (“Azure”) as main cloud computing system.

Reported impact

Business outcome

We are now working to digitalize the entire business and improve its efficiency by connecting the core system and the current business with tools such as Microsoft Power Platform (“Power Platform”) and Microsoft 365,” said Inenaga. Inenaga had believed that the improvement of business efficiency and automation through AI was a mission of extremely high priority in promoting operations DX in the core system renewal project.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

FUJIFILM Business Innovation used Azure OpenAI Service, Power Automate, Microsoft Dynamics 365 to turn complex business content into faster digital workflows. “We conducted interviews with various departments, including sales, planning, procurement, after-sales service, and affiliated companies, about their business issues, and completed around 10 PoC projects, including spare parts supply and demand forecast, voice data text conversion, and many more. Then, we selected Cash Application as one of the most essential operations. As Cash Application had required a heavy manual workload and been partially outsourced, we concluded that the AI utilization would provide a significant return on investment,” said Fushimi. Key implementation elements included Azure OpenAI Service generates natural-language responses and task automation for the solution; Power Automate automates workflow steps that previously required manual effort; Microsoft Dynamics 365 provides the common business process...

Data flow

Business documents and enterprise content are ingested into the AI workflow, classified or summarized by the model layer, and routed into the application or operations process where employees can review and act on the output.

Solution architecture

6 components · 2 layers
  1. Compute
    • Azure OpenAI Service Generates natural-language responses and task automation for the solution.
    • Microsoft Azure Hosts the application, data, and integrations on scalable cloud infrastructure.
  2. Orchestration
    • Power Automate Automates workflow steps that previously required manual effort.
    • Microsoft Dynamics 365 Provides the common business process layer that standardizes operations.
    • Dynamics 365 Finance Modernizes finance operations inside the new core platform.
    • Dynamics 365 Customer Engagement Connects CRM processes to the new core system.

Evidence from the source

Particularly at FUJIFILM Business Innovation, which handles more than 100 thousand receipts per month and as many as 1.2 million invoices per month, the workload demands tremendous amount of efforts.
The project initiatives include implementing Dynamics 365 (Dynamics 365 for Finance and Operations, Dynamics 365 Customer Engagement) as the core system, and deploying Microsoft Azure (“Azure”) as main cloud computing system.
We are now working to digitalize the entire business and improve its efficiency by connecting the core system and the current business with tools such as Microsoft Power Platform (“Power Platform”) and Microsoft 365,” said Inenaga. Inenaga had believed that the improvement of business efficiency and automation through AI was a mission of extremely high priority in promoting operations DX in the core system renewal project.
“We conducted interviews with various departments, including sales, planning, procurement, after-sales service, and affiliated companies, about their business issues, and completed around 10 PoC projects, including spare parts supply and demand forecast, voice data text conversion, and many more. Then, we selected Cash Application as one of the most essential operations. As Cash Application had required a heavy manual workload and been partially outsourced, we concluded that the AI utilization would provide a significant return on investment,” said Fushimi.
Transparency Evidence & methodology 65/100 reference value · 90% confidence · 2 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value65/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth20/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale5/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence90%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability23/25
    11 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    2 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    FUJIFILM Business Innovation customer story

    First-party
    https://www.microsoft.com/en/customers/story/1598952280649492742-fujifilm-discrete-manufacturing-azure-en-japan
    Source type
    Vendor-published customer story
    Published
    Mar 16, 2023
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. FUJIFILM Business Innovation

    Corporate Profile | FUJIFILM Business Innovation

    First-party
    https://www.fujifilm.com/fb/en/about/corporate-fb/overview

    Number of employees (consolidated) 31,608 - As of March 31, 2026.

    Source type
    Official company website
    Supports
    • Company size

Date evidence

  • Published on source page Mar 16, 2023 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region. Treat these normalized attributes as lower-confidence until a dedicated source is added.