DXC Manufacturing Perrysburg, Ohio, USA

O-I Glass

IT Operations Automation

O-I Glass needed a simpler, consumer-like way for 24,000 employees in 20 countries to access IT services and improve system uptime without relying on fragmented, manual support processes.

20 countries
24,000 employees
24x7 IT support
reducing costs by 35%

Reported impact

Business outcome

O-I Glass says employees are getting faster responses through the digital assistant, DXC is reducing the amount of human labor needed for routine support, and the wider workplace-refresh program has lowered IT costs while standardizing service delivery globally.

  • Cost Reduction
  • Productivity Improvement

Solution

O-I Glass deployed DXC UPtime Experience Platform as a modern-workplace layer for 24,000 employees across 20 countries. The platform fronts IT services through browser, mobile, desktop, and Microsoft Teams channels, with UPtime Experience Gateway as the main entry point. Within that experience, UPtime Digital Assistant provides AI-powered conversational support and automated incident resolution, while UPtime Marketplace handles self-service ordering of devices and peripherals. UPtime Device Management applies AI-enabled performance monitoring to extend PC life and keep endpoints stable, and UPtime Experience Analytics measures technology experience so DXC and O-I Glass can improve service quality. DXC also links the platform to fulfillment, inventory reporting, and self-service kiosks or locker boxes. The story does not name a separate storage layer, but it clearly describes a unified serving and analytics stack for IT support, provisioning, and endpoint optimization.

Data flow

Employees enter IT requests through browser, mobile, desktop, or Microsoft Teams channels into the DXC UPtime Experience Platform and UPtime Experience Gateway. The platform routes support questions to UPtime Digital Assistant, procurement requests to UPtime Marketplace, and endpoint health signals to UPtime Device Management and UPtime Experience Analytics, which then feed service-improvement and fulfillment workflows.

Solution architecture

6 components · 3 layers
  1. Compute
    • UPtime Device Management Measures PC performance and applies AI-enabled monitoring to extend device life and stability.
    • UPtime Experience Analytics Analyzes employee-technology experience data so the service can be improved continuously.
  2. Serving
    • UPtime Experience Gateway Acts as the main entry point through which employees access workplace IT services.
    • UPtime Marketplace Provides self-service ordering for devices, peripherals, and accessories.
    • UPtime Digital Assistant Delivers AI-powered conversational support and automates incident resolution.
  3. Orchestration
    • DXC UPtime Experience Platform Centralizes workplace-service access and ties together support, provisioning, and experience functions.

Architecture clues

  • DXC provides weekly inventory and fulfillment reports as part of the Marketplace workflow.
  • O-I Glass is also implementing kiosks and locker boxes for self-service device pickup and replacement.
  • The platform is centralized across browser, mobile, desktop, and Microsoft Teams channels.

Evidence from the source

"DXC handles the orders, delivering items directly to the end user, and also gives O-I Glass weekly inventory and fulfillment reports."
"In just the last few years, DXC has performed a comprehensive technology refresh of O-I Glass' hardware platforms, operating systems and applications, and also provides ongoing security services, reducing costs by 35%."
"UPtime Digital Assistant is an AI-powered conversational assistant that provides 24x7 IT support."
"UPtime is an AI-powered, one-stop shop for workplace services centralized and integrated across browser, mobile, desktop and Microsoft Teams channels."
"We've seen an uptake in use of UPtime Digital Assistant in a very rapid manner."
Transparency Evidence & methodology 90/100 reference value · 95% 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 value90/100
  • 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 impact15/25
    1 metric describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence95%
  • 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 provenance10/10
    The publication date comes from the source page or publisher.
  • 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. DXC Technology

    DXC helps O-I Glass create a modern technology experience for employees | DXC Customer Stories

    First-party
    https://dxc.com/insights/customer-stories/dxc-helps-o-i-glass-create-a-modern-technology-experience-for-employees
    Source type
    Vendor-published customer story
    Published
    Mar 20, 2024
    Supports
    • Customer
    • Industry
    • Region
    • Company size
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • Business outcome
    • Metrics
    • Architecture
    • Publication date
    • evidence quotes

Date evidence