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Consumer Goods

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Top Story

Everything Depends on Network Transformation

What is your customers’ journey like, and can you optimize it? As you seek to design interactive digital customer and employee experiences, whether through connected devices, new applications, automation technologies, enhanced security controls or moving to the cloud, your need for improved performance, monitoring and security will grow significantly. To stay cost efficient, you need to transform your network to support the new requirements of digital transformation. Want to learn how?

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Rise of the Digital Consumer: Are you Ready?

Are you looking at digital solutions such as direct-to-consumer ecommerce, internet of things, connected smart homes, demand-driven supply chains, or innovation via customer collaboration?

ISG has performed hundreds of engagements for consumer goods companies across the globe. From your procurement to your network, software, next-gen sourcing and benchmarking needs, ISG brings deep industry, market and advisory insights and solutions to help you achieve your strategic goals.

Your Employees Need Flexibility

Optimize employee experience and technology adoption and ROI. ISG can help you provide the security, strategy, flexibility and tools for your employees to adapt to new ways of working, collaborate and increase productivity. 

Your Customers Demand Digital

Reimagine your online retail channel with us. We’ll help you leverage data and intelligent automation in your supply chain, forecasting and back office, and adopt digital solutions to optimize your processes and reach your consumers directly. 

The market has moved from ambition to accountability.

AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.

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What We Deliver

AI strategy, governance and intelligence, built for execution.

Autonomous Enterprise

Operations built for autonomous execution, not retrofitted for it.

We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.

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Autonomy-Level Pricing

Pricing that reflects how AI-enabled services are actually delivered.

We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.

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AI & Software Intelligence

Build-versus-buy decisions grounded in what AI is actually delivering.

We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.

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AI Governance

Governance that accelerates AI adoption rather than constraining it.

We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.

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AI Strategy

AI investment aligned to where impact is most achievable.

We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.

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AI Maturity Index

A clear view of where you stand and a roadmap to where AI starts delivering.

We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.

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The market today

Enterprise AI has moved out of IT and into the revenue line.

AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.

ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve

The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.

Where enterprises are feeling the pressure
  • Business outcomes are lagging AI ambition
    Enterprises are scaling Al faster than they are realizing value from it. The number of use cases in production doubled between 2024 and 2025, yet only one in four initiatives is meeting revenue impact expectations, and broad cost savings remain elusive. At an average spend of $1.3M per use case, the ROI gap is sharpening board-level scrutiny and forcing a harder question: are we building Al for impact, or for activity?
  • Data infrastructure exposing deferred investment
    Al does fail in isolation. It fails on the foundations beneath it. Most enterprises are running modern Al on architectures built for reporting and compliance. Generative and agentic Al demand real-time contextually rich, governed data at the point of use. Without it, pilots stall and value dissipate before it reaches the business.
  • The barrier to scale is organizational, not technical
    Organizational readiness as the bigger constraint on Al adoption, not talent or tooling. Workflows haven't been redesigned. Decision rights haven't shifted. Enterprises that treat Al as a pure technology deployment, without investing in the human side of adoption, consistently report underwhelming ROI.
  • Agentic AI is outpacing governance
    As Al moves from generating outputs to executing tasks autonomously, the governance gap widens. Agentic Systems introduce a new class of risk that static compliance frameworks were never designed to catch. Governing what Al does, not just what it produces, is now a business-critical requirement.

Client Stories

Sourcing a Partner to Enable Global Cloud-First Strategy

Jul 18, 2021, 22:46
A global beverage company wanted to standardize its IT infrastructure. ISG supported it with a market review, the design of a cloud-first strategy and the build of a “right” contract with its chosen partner to support next-gen infrastructure.
Title : Sourcing a Partner to Enable Global Cloud-First Strategy
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A beverage company with multiple subsidiaries sought to standardize IT Infrastructure strategies and take advantage of economies of scale to drive the business case for moving to new operating model. It wanted to conduct a design of a cloud strategy template which could be globally applied to ensure optimal total cost of ownership (TCO) without any negative impact on its service levels. It engaged ISG to review its sourcing progress to date with a refreshed understanding of the cloud approach suggested by its IT provider and to refine it. Using the renewed strategy, it asked ISG to help it and the provider to do an application assessment to build the business case for the move to cloud. It also looked to ISG to create a contract with the provider, incorporating right pricing models, effective service-level and efficient governance mechanisms. 
ISG conducted a current-state comparison of the company’s sourcing footprint and potential vendor leverage against market trends. Our approach included a best-fit value model for “right-sized” service delivery. We changed the approach of cloud adoption from “critical app in private” to “public cloud first,” following its preferred strategy. We also facilitated large, provider-driven planning exercises in various geographies, including Americas, Europe and the Asia Pacific. The outcome of this exercise was to ensure a detailed business case and plan for actual migration to public or private cloud with minimal surprises. ISG applied its experience with SaaS and IaaS based solutioning and cloud sourcing best practices to determine the deployment models for future scenarios. 
  • The company validated the provider’s approach for the cloud strategy. 
  • It received an assessment describing how it could leverage cloud technologies safely to solve for variable cost, agility and flexibility to meet business demands.
  • It moved under one roof through the initiative, including the required governance structures and end-to-end processes.
  • The company also built future options based on ISG expertise surrounding the cloud market and evaluated “right fit” based on the pros and cons provided by ISG to support final decision-making. 
  • It achieved an effective and efficient contract with its chosen provider.

 
Categories :
  • Consumer Packaged Goods
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