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02 · Insights— The analysis

Intelligent waste management

Intelligent waste management solutions use data and automation to sort, track, route, or process waste more efficiently. They address operational inefficiency, poor recycling outcomes, and the need to reduce environmental impact.

Data updated

11
deployments
on record
7
industries
led by Manufacturing
2
publish a quantified result
11 report any result
8 May 2026
newest deployment
publication date
§ 1

Where it is used

Manufacturing accounts for 27% of these deployments.

  1. ManufacturingQuiet · 0 in the last 6 months
    3
  2. Consumer & FoodEmerging · 0 in the last 6 months
    3
  3. Energy & UtilitiesEmerging · 0 in the last 6 months
    1
  4. PharmaEmerging · 0 in the last 6 months
    1
  5. EducationEmerging · 0 in the last 6 months
    1
  6. Real EstateEmerging · 0 in the last 6 months
    1
  7. LogisticsEmerging · 0 in the last 6 months
    1
§ 2

What it delivers

2 deployments publish a number. The rest describe results in words, grouped below.

  1. Cost savings

    1 metric

    Reduction · median and middle half
    −15%fewMedian reduction −15%, middle half −15% to −15%, from 1 metric
  2. Revenue & growth

    1 metric

    No reductions reported
    Increase · median+5%1 metric · few

Grey figures rest on fewer than 5 published metrics. Read them as examples, not as a typical result.

Results described in words

  1. New product / capability64% of these deployments
    7
  2. Speed & agility55% of these deployments
    6
  3. Cost efficiency55% of these deployments
    6
  4. Better decisions & insight45% of these deployments
    5
  5. Customer experience & trust36% of these deployments
    4
  6. Sustainability & ESG27% of these deployments
    3
6 of 8 result types
§ 3

How it is built

Microsoft is named in 100% of these deployments.

  • Custom-built100% · 5

The build approach is known for 5 of 11 deployments (45%). The rest are left out.

Cloud providers named

  1. Microsoft11 deployments
    100%

Technologies that recur

  • Azure AI 7
  • Azure 4
  • Azure Digital Twins 4
  • AI 3
  • Azure ML 2
  • Dynamics 365 2
  • Azure IoT 2
  • Microsoft Azure 2
§ 4

Deployments over time

1 deployments in the last six full months, against 1 in the six before. Counted by publication month since Oct 2023. 6 earlier deployments are not shown.

The lighter bar is Nov 2026, still in progress: 0 so far.
§ 5

Deployments of this pattern

  1. 8 May 2026
    Manufacturing

    Michelin Leverages Microsoft and Cosmo Tech AI-Simulation Technology to Optimize Manufacturing and Supply Chain

    Michelin · Microsoft

    Michelin aimed to optimize its global profit margin, enhance supply chain resilience, and improve manufacturing operational efficiency under complex global market conditions.

  2. 18 Nov 2025
    Manufacturing

    Krones achieves real-time optimization of packaging lines with digital twin framework

    Krones · Microsoft

    Krones, a leading provider of packaging and bottling systems, partnered with Synopsys to deploy a cutting-edge digital twin framework leveraging Microsoft Azure and NVIDIA Omniverse. Traditional fluid simulation in manufacturing took several hours per run, limiting real-time process optimization and scenario testing. By implementing a GPU-accelerated, cloud-native simulation environment hosted on Azure, Krones reduced simulation runtimes from hours to under 5 minutes. The system integrates Ansys Fluent physics, Omniverse libraries, and Azure AI, resulting in a virtually realized factory floor for real-time scenario comparison and adjustment. Enhanced collaboration is enabled across engineering, operations, and R&D teams, thanks to seamless concurrency and data-driven decision-making capabilities. CADFEM Germany GmbH customized solver settings for Krones’ needs and SoftServe provided system integration for the full deployment on Azure cloud infrastructure. The technical architecture enables scalable digital twins across industries, making sophisticated simulations accessible, which significantly reduces waste, increases resource efficiency, and speeds up product development cycles. Collaboration between Synopsys, NVIDIA, and Microsoft demonstrates how digital transformation can deliver practical, rapid agility to manufacturing operations, ultimately raising productivity to new industry standards.

  3. 6 May 2025
    Consumer & Food

    Tracer and Verofax revolutionize food waste management

    Tracer · Microsoft

    Tracer, a company based in Sharjah, UAE, in collaboration with Verofax, developed a food waste prevention platform built on Microsoft Azure. The platform integrates smart serialization and traceability technology, offering enterprises a powerful method to improve inventory oversight. The solution connects manufacturers, retailers, and consumers to address the global issue of food waste, benefitting from real-time decision-making and automated enterprise processes. Using Verofax's suite hosted on Azure, the platform guarantees data privacy, seamless integration with Dynamics 365, and operational savings by automating decision points for food nearing expiration.

  4. 19 Dec 2024
    Manufacturing

    BASF optimizes plastic recycling using AI

    BASF · Microsoft

    BASF, in collaboration with partners Endress+Hauser, TechnoCompound, and various German universities, launched an advanced initiative to optimize mechanical recycling of plastics using artificial intelligence. By integrating spectroscopic methods with AI models, plastic waste composition can now be identified in real-time, improving the quality and efficiency of recycling processes. This project, funded partly by Germany's Federal Ministry of Education and Research, aims to address significant challenges in the consistency of recycled plastic output and contribute to sustainability in the circular economy.

  5. 8 Jun 2023
    Consumer & Food

    Anheuser-Busch InBev revolutionizes brewery operations and sustainability

    Anheuser-Busch InBev · Microsoft

    Anheuser-Busch InBev (AB InBev), the world's largest brewer, undertook a large-scale digital transformation initiative to modernize its global brewing and packaging operations. By implementing AI-powered predictive maintenance, Azure Digital Twins for real-time monitoring, and Microsoft Project Bonsai for deep reinforcement learning, AB InBev aimed to create a digital factory environment. This transformation enabled real-time visibility into complex brewery processes, seamless remote collaboration for frontline workers, and optimized packaging lines. The digital technologies also contributed to enhanced product quality, improved operational efficiency, and supported AB InBev's ambitious sustainability goals. The shift included a change management focus to ensure workforce readiness for new technologies and processes. Azure AI solutions made possible a 100% uptime mindset, ultimately redefining the brewery's operational standards.

  6. 23 Nov 2022
    Energy & Utilities

    Swedish innovators advance recycling with AI-enabled waste identification and sorting

    Innovation Skåne · Microsoft

    A collaborative project in southern Sweden established a Waste Identification Testbed using AI-powered sensors and robotics to automatically identify and sort recyclable materials in industrial waste streams. Led by Innovation Skåne and Mobile Heights, and supported by Microsoft Datacenter Community Development, the testbed allows engineers to test sensors and improve accuracy and speed in real-life waste environments. This has resulted in technology innovations, such as deploying the world’s fastest camera sensor for material detection and advanced AI algorithms for instance segmentation to distinguish overlapping materials. The initiative aims to support a circular economy in Sweden by enhancing recycling rates, resource recovery, and operational efficiency, with prospective applications in more complex sectors such as hospital waste. The innovations catalyzed by this project lay the groundwork for industry-wide adoption of improved automated recycling solutions, contributing to a more sustainable future.