Use Case Intelligence RSS Search use cases Search
EY Manufacturing North America

Daikin

Supply Chain Optimization

Daikin's acquisition-driven growth left it with diverse workflows, customized systems and fragmented data across order management, supply chain, fulfillment and finance, making it hard to deliver a consistent dealer experience or scale its operations efficiently across North America.

Read the original story Explore all use cases
10% improved counter efficiency
20% faster financial close
25 branch visits over 10 weeks
delivery accelerated by approximately 30%

Reported impact

Business outcome

Daikin created a repeatable transformation model that improved financial-close speed, branch productivity and rollout velocity while giving dealers and employees a more unified digital experience and a platform that can be extended across future phases of global standardization.

  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

Daikin aligned its North American transformation around a 'One Daikin' operating model built on SAP S/4HANA and reusable capabilities on SAP Business Technology Platform. EY and SAP teams began with immersive discovery across dealer, branch counter and back-office personas, then designed fit-to-standard workflows for sales, logistics, procurement, warehouse and finance operations. The program replaced fragmented regional screens with single-screen workflows, mobile-first dealer capabilities and consolidated finance and warehouse experiences so branches could work from a common digital core. AI was embedded in both delivery and operations: AI-assisted code generation, automated testing, statistical forecasting, conversational interfaces and decision support accelerated rollout and improved fulfillment and planning. Governance controls, traceability and audit-ready reporting were built in early so the transformation could scale predictably across branches and future regions.

Data flow

Dealer, branch and back-office data flows into SAP S/4HANA and connected BTP workflows for order management, inventory, warehouse and finance operations. Shared services unify procurement, logistics and sales data, while forecasting and conversational decision-support layers help employees and dealers act on the same operational signals in one workflow.

Solution architecture

5 components · 3 layers
  1. Compute
    • SAP Business Technology Platform (BTP) Hosts reusable accelerators and workflow extensions for order, inventory and warehouse experiences.
    • AI-assisted implementation Uses AI support such as code generation and automated testing to speed delivery of the rollout.
    • statistical forecasting Helps planners and dealers improve routing, freight and fulfillment decisions.
  2. Serving
    • conversational interfaces Give users simpler ways to access decisions and recommendations inside the transformed workflow.
  3. Orchestration
    • SAP S/4HANA Provides the shared digital core for finance, logistics, procurement and sales workflows.

Architecture clues

  • AI-assisted code generation and automated testing were used during implementation.
  • EY teams extended the SAP S/4HANA digital core with front-end order management, inventory planning and warehouse capabilities on SAP BTP.
  • Single-screen workflows were designed for counter personnel and mobile-first capabilities for dealers in the field.
  • The rollout embedded traceability, audit-ready reporting and region-aligned compliance controls.

Evidence from the source

"AI-assisted implementation, including code generation and automated testing, further accelerated delivery by approximately 30%."
"Going live in just 10 months, the pilot modernized finance, logistics, procurement and sales workflows for more than 300 frontline users across dozens of Daikin branches."
"Pilot program delivered 20% faster financial close."
"The Daikin-EY teams tailored single-screen workflows for counter personnel, mobile-first capabilities for dealers in the field, and consolidated finance and warehouse experiences."
"This effort aimed to accelerate the rollout of SAP S/4HANA and deliver an experience-centered, AI-infused, agile-powered transformation."
Transparency Evidence & methodology 100/100 reference value · 85% confidence · 1 source

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 value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    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 impact25/25
    4 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence85%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    5 direct source quotes retained.
  • Date provenance0/10
    The publication date has no documented provenance.
  • Source transparency10/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    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. EY

    How AI powered Daikin's business transformation | EY - Global

    First-party
    https://www.ey.com/en_gl/alliances/daikin-transforms-business-transformation-with-ai
    Source type
    Vendor-published customer story
    Supports
    • Customer
    • Industry
    • Region
    • Company size
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • evidence quotes

Date evidence

  • First archived May 11, 2026 · Internet Archive · Independent First Wayback Machine capture; confirms the page existed by this date, not when it was published.
    Open date source

Related

Similar use cases

See all like this
In-house Aug 13, 2026 Lockheed Martin Manufacturing United States Static flight-hour tables and usage metrics ignored real-time consumption, causing chronic under-resourcing, limited stock effectiveness, and a reactive sustainment supply chain that could not keep pace with modern… predict component failure up to 72 hours before it occurs Predictive MaintenanceReal-time Analytics LogC2 dashboard · deep-learning models · digital data fabric Huawei Cloud Archived · Apr 13, 2026 Nantong High-Tech Holding Group Manufacturing Nantong, China Nantong High-Tech Holding Group needed a trusted way to circulate design, image, and production data across the home-textile ecosystem so companies could reduce duplicated material spend, protect IP, and attach AI… annual revenue about 2 billion yuan Supply Chain Optimization DWS · DataArts Studio · EDS, TICS, and BCS trusted-circulation services NVIDIA Feb 2, 2026 Agility Robotics Manufacturing United States Agility Robotics needed a reliable way to train whole-body control for humanoid robots that could work in human-built warehouses and factories without costly facility redesigns or risky trial-and-error learning on the… billions of simulation steps Supply Chain Optimization Isaac Lab · MuJoCo · NVIDIA GPUs