Find Where AI Creates Real Value for Your Ecommerce Business
We run structured discovery workshops to identify, evaluate, and prioritise the AI use cases that will deliver measurable commercial outcomes — before you invest in tools or implementation.
The Problem
Most AI Strategies Start with the Wrong Question
Many ecommerce businesses approach AI by starting with tools — evaluating vendors, attending demos, and making purchasing decisions before they have defined what problem they are actually solving. The result is AI investment that is driven by vendor promises rather than business evidence. Teams end up with tools that are implemented but underused, AI features that are technically live but commercially unmeasured, and roadmaps that prioritise what is easy to buy rather than what is valuable to deliver. Without a structured use case discovery process, AI spending becomes difficult to justify and harder to optimise.
The right AI strategy starts with use cases, not tools.
Tool-First Thinking
Teams evaluate AI vendors before defining use cases — resulting in tools that are purchased but never fully implemented or measured.
No Clear ROI Framework
AI projects launch without agreed success metrics, making it impossible to demonstrate value or justify further investment.
Data Gaps Discovered Late
Businesses commit to AI tools before assessing data readiness — discovering integration and data quality problems during implementation.
Scattered Priorities
Multiple teams push different AI use cases simultaneously with no agreed sequence — creating delivery conflicts and resource strain.
Our Solution
Our Solution
We work with your team through a structured discovery process — combining stakeholder interviews, commerce data review, platform assessment, and use case mapping to produce a prioritised AI roadmap. Every recommendation is grounded in your actual business context, data availability, and commercial priorities — not generic AI best practice.
Stakeholder Discovery
We interview commercial, technical, and operations stakeholders to understand business goals, pain points, and existing AI awareness.
Data & Platform Audit
We review your commerce data, customer data infrastructure, and platform capabilities to assess AI readiness across each layer.
Use Case Mapping
We map AI opportunities against your business goals — covering every relevant area from search and personalisation to operations and retention.
Value & Effort Scoring
We score each use case on business impact, data availability, implementation complexity, and time to value — producing a clear prioritisation matrix.
Technology Alignment
We review the tools and platforms needed to deliver the priority use cases and identify build vs buy decisions.
Roadmap Delivery
We present a phased AI roadmap with recommended use cases, implementation sequencing, success metrics, and next steps.
What We Deliver
What the Discovery Engagement Delivers
Use Cases
When AI Strategy Discovery Adds the Most Value
Platforms Assessed
We Assess AI Readiness Across Your Commerce Stack
Salesforce Commerce Cloud
Shopify Plus
Adobe Commerce
BigCommerce
Why Innovadel
Commerce Context Makes the Difference
Commerce-Specific AI Expertise
Our use case discovery is grounded in ecommerce — we understand which AI applications create value in commerce contexts and which are more theoretical than practical.
Commercial, Not Technical Output
We produce roadmaps that business stakeholders can use to make decisions and secure budget — not technical specifications that only engineers can evaluate.
Vendor-Neutral Perspective
We have no commercial relationships with AI vendors that would bias our recommendations. Our goal is to identify the right use cases for your business, not to sell a specific tool.
Engagement Models
Engagement Options
AI Strategy Workshop (1-Day)
Best for teams that need a fast, focused use case mapping session with immediate prioritisation output.
AI Readiness Assessment
Best for businesses that want to understand data, platform, and team readiness before committing to an AI programme.
Full Discovery Engagement
Best for teams planning a significant AI investment and needing a comprehensive, defensible use case roadmap.
Ongoing AI Advisory
Best for teams that want a regular advisory relationship to refine their AI roadmap as the business and technology landscape evolves.
FAQs
Common questions
What is AI use case discovery?
AI use case discovery is the process of systematically identifying, evaluating, and prioritising the AI applications that are most likely to create business value for your specific operation. It avoids the common mistake of starting with tools and instead starts with commercial goals — mapping AI opportunities against your data, platform, and team capabilities before any tool selection or implementation begins.
How long does an AI strategy discovery engagement take?
Most AI Strategy & Use Case Discovery engagements run between three and six weeks, depending on the size of the team, the complexity of the commerce stack, and the number of use case areas to be explored. We structure the process with a defined set of workshops and review sessions so the timeline is predictable.
Do we need to have existing AI tools to benefit from discovery?
No. Discovery is valuable at any stage — whether you have no AI tools and are starting from scratch, have several tools that are underperforming, or are planning a significant AI investment and want to ensure it is directed at the right use cases.
What is the output of the engagement?
The primary output is a prioritised AI roadmap — a structured document that defines the priority use cases for your business, the data and platform requirements for each, the recommended implementation sequence, and the success metrics to track. We present this in a working session and provide a supporting document for internal sharing.
Will you recommend specific AI tools?
We provide technology landscape guidance as part of the engagement — including which tool categories are needed for the priority use cases and how to evaluate vendors. We are platform-neutral and do not have commercial relationships that would bias our recommendations.
Can you run discovery for a specific area, such as search or personalisation?
Yes. We offer focused discovery for specific use case areas — such as AI search and discovery, personalisation, or customer data activation — as a shorter, more targeted engagement. This is a good starting point if you have a clear priority area and want to move quickly.
What information do you need from us before the engagement starts?
We typically ask for access to a brief platform and tech stack overview, any existing analytics or performance data, and time with two or three stakeholders covering commercial, technical, and operations perspectives. We provide a structured briefing document to guide the preparation.
Ready to find where AI creates real value for your business?
Book an AI Strategy & Use Case Discovery session with Innovadel.