Microsoft Manufacturing France

Schneider Electric

Sales Automation

Schneider Electric’s global sales teams must engage with several tedious, manual tasks and toggle between multiple screens and apps if they want good data quality in their Salesforce CRM, taking time away from core selling activities.

Energizing efficiency with AI Schneider Electric’s global sales team is one of the largest users of Salesforce’s customer relationship management (CRM) systems.
Schneider Electric was named the world's most sustainable company in 2024 by magazine in recognition not only of the company’s ambitious goals to reduce its own emissions, but also its commitment to helping its customers reduce theirs.

Reported impact

Business outcome

Copilot for Sales was integrated with Salesforce to assume tasks like AI-assisted contact creation, all done within the flow of work.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Schneider Electric implemented Microsoft Copilot for Sales on top of its CRM and collaboration stack because Schneider Electric’s global sales teams must engage with several tedious, manual tasks and toggle between multiple screens and apps if they want good data quality in their.... The deployment connects relationship data with tools such as Microsoft Copilot for Sales, Salesforce CRM, Outlook, and Microsoft Teams, letting sellers create or enrich contacts, summarize long email threads and meetings, and push validated updates back into customer records without leaving their day-to-day workspace. By keeping CRM maintenance inside Outlook and meeting workflows, the organization improves data quality while preserving more time for customer engagement and pipeline execution. This turns generative AI into a governed sales workflow rather than a standalone assistant, and Copilot for Sales was integrated with Salesforce to assume tasks like AI-assisted contact creation, all done within...

Data flow

Emails, meeting activity, and CRM records are brought together in seller workflows; Copilot summarizes or drafts next steps in Outlook and Teams, and validated details are written back to CRM for future selling activity.

Solution architecture

4 components · 2 layers
  1. Storage
    • Salesforce CRM Stores account, contact, and opportunity data that connected Microsoft workflows read from and write back to.
  2. Serving
    • Microsoft Copilot for Sales Applies generative AI to seller emails, meetings, and relationship context so teams can create contacts, summarize activity, and update CRM records in the flow of work.
    • Outlook Hosts email workflows where users review AI-generated summaries, draft messages, and act on customer or operational communications.
    • Microsoft Teams Hosts collaboration, meetings, and chat workflows where users consume summaries, updates, and shared operational context.

Architecture clues

  • Energizing efficiency with AI Schneider Electric’s global sales team is one of the largest users of Salesforce’s customer relationship management (CRM) systems.
  • Integration point: Salesforce CRM
  • Primary implementation components: Microsoft Copilot for Sales, Salesforce CRM, Outlook, Microsoft Teams
  • Schneider Electric was named the world's most sustainable company in 2024 by magazine in recognition not only of the company’s ambitious goals to reduce its own emissions, but also its commitment to helping its customers reduce theirs.

Evidence from the source

Copilot for Sales was integrated with Salesforce to assume tasks like AI-assisted contact creation, all done within the flow of work. Copilot summarizes emails and meetings, enabling better focus on customer engagement.
Microsoft Copilot for Sales
Schneider Electric’s global sales teams must engage with several tedious, manual tasks and toggle between multiple screens and apps if they want good data quality in their Salesforce CRM, taking time away from core selling activities.
Schneider Electric’s sales teams report efficiency gains, higher customer satisfaction, and enhanced data quality. Sellers seamlessly update CRM in the flow of work in Teams and Outlook increasing contact acquisition.
Transparency Evidence & methodology 86/100 reference value · 89% 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 value86/100
  • 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 specificity16/20
    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 confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 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 transparency8/10
    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. Microsoft

    Schneider Electric customer story

    First-party
    https://www.microsoft.com/en/customers/story/18860-schneider-electric-microsoft-365-copilot-for-sales
    Source type
    Vendor-published customer story
    Published
    Oct 15, 2024
    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

Date evidence

  • Published on source page Oct 15, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

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