Skip to main content
PepsiCoLinkedIn

We're teaming up with Siemens and NVIDIA in an industry-first, multi-year collaboration to help make the way we make and move our products smarter and more...

Source

LinkedInJan 7, 2026
likes
1,802
comments
35

Post

We're teaming up with Siemens and NVIDIA in an industry-first, multi-year collaboration to help make the way we make and move our products smarter and more efficient. Using digital twin technology - paired with new AI tools and lifelike 3D digital models of our plants and warehouses - we're able to test and improve ideas virtually before changing anything in the real world. That means we can spot issues earlier, use our existing facilities better, and get products where they need to go more smoothly. This collaboration is one more way we’re using technology to strengthen how PepsiCo runs its operations so we can keep delivering the foods and drinks people love, all around the world. https://lnkd.in/e5BhpNG5

linkedin.com/feed/update/urn:li:activity:7414747842830995456Read the full source

Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

The full record

From the Signal API record

Topics and mentions

Tags

  • Artificial Intelligence
  • Digital Transformation
  • Operations
  • Partnership
  • Logistics / Supply Chain

Extraction

Detected
Jan 8, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

Use this data

Get every LinkedIn signal for PepsiCo and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at PepsiCo this week?”

  2. Send it to your own tools

    The Signal API returns LinkedIn signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/950bb4c5-3ad0-4c6f-917e-d4498df4e113 returns this record as JSON. POST /v1/companies/enrich returns every signal for pepsico.com.

{
  "signal_id": "950bb4c5-3ad0-4c6f-917e-d4498df4e113",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-01-08T14:35:01.043+00:00",
  "company": {
    "name": "PepsiCo",
    "domain": "pepsico.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Digital Transformation",
      "Operations",
      "Partnership",
      "Logistics / Supply Chain"
    ],
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7414747842830995456/",
    "num_likes": 1802,
    "post_text": "We're teaming up with Siemens and NVIDIA in an industry-first, multi-year collaboration to help make the way we make and move our products smarter and more efficient.\n \nUsing digital twin technology - paired with new AI tools and lifelike 3D digital models of our plants and warehouses - we're able to test and improve ideas virtually before changing anything in the real world. That means we can spot issues earlier, use our existing facilities better, and get products where they need to go more smoothly.\n \nThis collaboration is one more way we’re using technology to strengthen how PepsiCo runs its operations so we can keep delivering the foods and drinks people love, all around the world. https://lnkd.in/e5BhpNG5",
    "posted_date": "2026-01-07T19:20:45.084Z",
    "num_comments": 35
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.