isospinsPersonal Shopping Agents
Explore product recommendations and guided shopping using relevant catalog information and permitted customer context. Define recommendation criteria and boundaries for any agentic actions.
Retail & E-Commerce
AI consulting for retail and e-commerce.
Connect the customer journey.
Explore AI experiences for product discovery, customer support, and merchandising operations. Connect catalog, order, and inventory information to focused applications, with clear business rules and staff ownership.
AI use cases by industry
Explore where AI
can support the work.
Illustrative engagement opportunities, scoped around the systems, data, and professional responsibilities involved.
Customer Support Bots
Assist order inquiries and return requests using approved policies and system access. Provide staff handoffs and approval steps for exceptions, refunds, and account changes.
Inventory & Pricing Optimizers
Assess demand, seasonality, and stock information to propose inventory or pricing changes. Evaluate recommendations against business rules and define approval requirements before operational use.
Current developments · 2026
What is changing.
What to plan for.
Research reviewed October 27, 2026. Recent standards, research, and platform developments connected to practical project decisions.
Shopping journeys extend into AI interfaces
Google's May 2026 commerce announcements expanded its UCP plans to a cart spanning retailers and services such as Search and Gemini. The announced flow supports checkout through Google Pay or transfer to a merchant's site, while the retailer remains the merchant of record.
What this means for your project
Assess channel eligibility and commerce APIs before a pilot. Keep price, stock, payment authorization, and order confirmation in trusted transaction systems, and measure completed orders alongside failed or abandoned handoffs.
Primary sources
Live catalog data becomes part of the AI experience
UCP's March 2026 update introduced optional capabilities for carts, catalog retrieval, and identity linking. These capabilities allow integrated agents to obtain current variants, inventory, and pricing, and support authenticated loyalty benefits rather than relying only on static product descriptions.
What this means for your project
Start with catalog quality and reliable inventory feeds. Define refresh rules, resolve conflicting product attributes, test member pricing, and require an authoritative price check before a customer confirms a purchase.
Primary sources
Shopping assistance connects with post-purchase service
Google Cloud introduced Gemini Enterprise for Customer Experience in January 2026 to connect shopping and support workflows. Its announced capabilities combine customer context with backend tools, reflecting a move toward service agents that can help resolve a task as well as answer a question.
What this means for your project
Pilot one bounded workflow, such as order-status assistance or return eligibility. Connect approved policies and order data, verify customer identity, and route exceptions or refunds above an agreed limit to staff.
Primary sources
Source dates indicate publication or last update. Drafts, regional examples, and product announcements are identified in context. The project implications are Isospins’ recommendations for scoping an engagement.
A practical starting point
One focused project.
Evidence for the next step.
An illustrative engagement to shape around your organization, systems, and priorities.
Discuss a first projectHelp shoppers navigate one product category
Prototype guided product discovery using current catalog facts and approved policies. Keep purchases, refunds, and exceptional requests behind the agreed commerce controls and staff handoffs.
- What we need to begin
- Product attributes, catalog and stock feeds, approved policies, and representative shopper questions.
- What to evaluate
- Factual recommendations, availability accuracy, task completion, handoff quality, and performance by product segment.
- What to take forward
- A shopping or support prototype, catalog-quality findings, integration requirements, and a measurement plan.
Connect the use case
to a practical plan.
Start by mapping the workflow, its users, and the information that needs to move. Then identify a useful prototype, the evaluation criteria, and the responsibilities for implementation and operation.
Combine AI strategy, machine learning, generative AI, data engineering, and cloud integration around the needs of this industry.
Explore the full service portfolioA defined engagement
What the work can include
- Customer journey and commerce-integration map
- Shopping, support, or merchandising prototype
- Recommendation and workflow evaluation criteria
- Business-rule, staff-handoff, and deployment plan
Before we begin
Better questions.
A stronger brief.
Bring these questions to the first conversation. We can work through the unknowns together.
Start a conversation- 01
Which product, inventory, price, and order systems can provide authoritative data to the experience?
- 02
Which actions need customer confirmation or staff approval, and how will disputed actions be traced?
- 03
Will the pilot be judged on conversion, successful resolutions, customer satisfaction, or support cost—and what is the current baseline?
Let's build something useful
Big idea. Complex challenge.
Let's find your next step.
Start a conversation about your application, AI opportunity, or cloud environment.