Agentic AI Is Here: What It Means for Retailers

The rise of agentic AI is more than another technology wave. As Forrester states in its March 2025 report, “The real story is not merely the AI agents, but the agentic AI systems that sit behind them and orchestrate them together.” This distinction matters for every enterprise — and for retailers, it could determine who thrives in the new age of agent-led shopping, and who fades into obsolescence.

At Optidan, we see agentic AI not as a distant future, but as an active shift already reshaping the digital shelf. Retailers that once struggled to manage duplicated content, inconsistent brand voice, and manual SEO processes now have a path to scalable, adaptive optimisation across every page. This is what Forrester calls the “competitive necessity” of agentic AI — and it is arriving faster than most retailers realise.

Cutting Through the Agent-Washing

Forrester warns of a growing problem: “agent-washing.” Vendors are branding everything from chatbots to process automation as “AI agents,” blurring the line between basic automation and true agentic AI. But the difference is stark, and for retailers, understanding this gap is critical.

According to Forrester:

• Process automation tools (RPA/DPA) lack adaptability and intelligence. They can follow strict rules, but they cannot flex when conditions change.
• Predictive analytics and ML can anticipate trends but cannot act on them autonomously. They stop at insight.
• Standalone LLMs can generate and plan but cannot execute actions in a real-world system.
• RAG pipelines can retrieve and generate information, but lack reasoning, planning, and adaptable action.

As Forrester explains, “Agentic AI integrates analytical capabilities with autonomous decision-making and action execution.” This is what makes it transformative. Unlike automation or predictive systems, agentic AI can plan, adapt, and act across unstructured environments. For retailers managing millions of products, this means handling exceptions, rewriting at scale, and dynamically adjusting content strategies without human bottlenecks.

What Makes Agentic AI Different

Agentic AI is defined by a unique combination of capabilities:

• Strategic planning: Setting goals and sequencing actions.
• Reasoning across scenarios: Adjusting when inputs change.
• Collaboration between components: Orchestrating multiple models, data sources, and tools.
• Tool use and autonomous action: Not just analysing, but executing in enterprise systems.

For retailers, these capabilities unlock new possibilities. Imagine an agentic system that not only detects duplicate product descriptions across thousands of supplier feeds, but also rewrites them in your brand voice, optimises metadata, integrates internal links, and updates your ecommerce platform — all in one workflow. This is not theory; it’s what platforms like Optidan are enabling today.

Forrester highlights the distinction: “While an LLM might excel at drafting an email or analysing a document, agentic AI can manage entire projects, coordinating multiple stakeholders, adjusting plans based on feedback, and actively working toward defined goals with minimal human intervention.” In retail, that project could be nothing less than your entire sitewide SEO performance.

The Maturity Curve of Agentic AI

Forrester identifies three stages in the maturity of agentic AI:

1. Complex-flow agentic AI
Early systems can choose how to execute workflows based on goals, adjusting actions with feedback. In retail, this might mean handling product feed enrichment, content rewriting, and structured metadata optimisation in flexible sequences. Optidan’s current workflows operate in this stage, delivering scalable content transformations across thousands of product detail pages (PDPs).

2. Multiflow agentic AI
As maturity grows, agents coordinate across domains. Forrester describes systems that might summarise sales data, generate campaign content, and push it into CRM platforms in real time. In retail SEO, this looks like an integrated loop: product descriptions, category page content, metadata, and image optimisation all collaborating to improve rankings and conversions. Optidan is moving toward this stage by linking SEO, internal linking, and content updates into unified workflows.

3. Any-flow agentic AI
The vision is ecosystems of agents acting across entire enterprises, beyond vendor silos. Forrester notes: “The vision of a mature agentic AI is multiple ecosystems of agents acting independently and with increasing autonomy on behalf of companies, employees, and customers.” For retailers, this could mean an autonomous digital shelf that updates, tests, and optimises itself continuously, ensuring visibility across Google, ChatGPT Shopping, and Perplexity without manual intervention.

Fortune Will Favour the Bold

Forrester’s conclusion is clear: laggards will lose ground. “Enterprises that fail to grasp the importance of agentic AI will waste investments on rigid non-agentic automation instead of transformative agentic AI.” In retail, the cost of falling behind is amplified by the rise of agentic shopping platforms, where visibility depends on structured, optimised content feeds.

Forrester provides guidance for leaders across roles, each of which maps directly to retail challenges:

• CEOs: Architect the “autonomous enterprise.” Retail leaders must go beyond efficiency and rethink their models. The future is not just optimising PDPs; it’s building new digital retail experiences, such as The Iconic becoming the “Westfield of online retail.”
• Line of Business Leaders: Choose measurable use cases. For retailers, this means tracking uplift in organic traffic, CTR, and revenue from optimised product and category pages.
• Technology Leaders: Prepare for orchestration. Optidan delivers plug-in roadmaps to connect product feeds, SEO tools, and ecommerce platforms seamlessly.
• Data Leaders: Build agentic memory with structured data, knowledge graphs, and metadata. Optidan’s optimisation pipelines already embed these principles.
• Security & Governance Leaders: Ensure explainability. In retail, this means every piece of generated content is transparent, consistent, and aligned with brand voice — not a black box.

As Forrester summarises: “The winners of the AI age will not merely be the fastest adopters but those who redesign their business models to harness agentic AI as a strategic differentiator.”

Optidan’s Retail Lens on Agentic AI

At Optidan, we’ve built our platform to solve the exact pain points Forrester describes. While most retailers rely on supplier feeds that produce duplicated content across competitors, Optidan transforms these into keyword-rich, branded, and performance-ready content at scale.

Our agentic workflows deliver:

• One Website, One Voice: Consistent content across PDPs, categories, brand pages, and blogs.
• Digital Shelf Performance: Optimisation that ties together search intent, metadata, images, and linking — not just rewriting descriptions.
• Scalability: AI agents that handle workloads human teams can’t. At Booktopia, that means rewriting one million products. At The Iconic, it means cleaning 157K SKUs riddled with duplication.
• Future readiness: Preparing retailers for visibility in agentic shopping ecosystems like ChatGPT Shopping and Perplexity, where structured content feeds drive discovery.

These outcomes are not hypothetical. Our case studies show what’s possible:

• Hello Drinks: Brand pages moved from page 60 to page 1 in 120 days.
• Barrel & Batch: 12K additional keywords indexed in 90 days, with a 14% increase in rankings.
• Bottle Stop: 9K product pages optimised, 10K images updated, and brand voice unified after rebrand.

Each of these examples demonstrates the power of agentic workflows to deliver measurable, scalable impact. This is exactly what Forrester calls for: systems that plan, adapt, and act autonomously to achieve goals.

Conclusion: The Time Is Now

Agentic AI is not a distant horizon — it is reshaping industries today. Forrester’s March 2025 report makes the stakes clear: “The adoption of agentic AI is a competitive necessity.” For retailers, this is about more than efficiency. It is about survival in an era where visibility on the digital shelf is dictated by how well your content systems can plan, adapt, and execute.

Optidan is helping retailers make this shift now. From cleaning legacy product feeds to building adaptive content pipelines, our platform embodies the agentic principles Forrester describes. As agentic shopping ecosystems take hold, the divide between leaders and laggards will widen rapidly.

The time to act is now. Retailers that embrace agentic AI will not only optimise their current performance, but also secure their place in the future of retail discovery.

Ready to prepare your business for agentic AI? Book a time with Optidan to explore how agentic workflows can transform your digital shelf.