AI Services for Your Store and Team

Forix’s ecommerce AI services cover consulting, workflow automation, dashboards, and shopping experiences. Explore what to build, connect recurring work across your systems, and bring performance information into view, alongside AI applications that help customers find and choose products.

Explore applications across your business:

  • Use-case assessments to choose what to build first
  • Connected workflows to move work between systems and teams
  • Dashboards and alerts for the metrics your team follows
  • Content drafts routed to the right reviewers
  • Search and recommendations that guide product selection
  • Email targeting based on customer interests
Define a project around the assessment, build, testing, and handoff you need. Add optional support for maintenance, recurring reviews, or future changes, with responsibilities agreed separately.

AI Services for Your Store and Team

Adobe Commerce Experts
AI Recommendation Engine

Make the Next Recommendation Count

When a shopper finds one useful product, the next suggestion should make sense. We help implement AI product recommendations that use behavioral data to introduce complementary items and relevant upgrades, supporting cross-selling and upselling within the buying journey.

  • Connect browsing behavior with relevant suggestions
  • Cross-sell products that complement the purchase
  • Use upselling to introduce relevant upgrades
AI Recommendation Engine

Make the Next Recommendation Count

AI Personalization

A Broad Catalog.
A More Relevant Visit.

Ecommerce personalization connects product and content experiences with customer interests. We help apply AI to make a broad catalog more relevant to different visitors, with data and integrations planned around the shopping journey.

  • Shape shopping journeys around customer interests
  • Connect product discovery with relevant content
  • Plan consistency across connected touchpoints
AI Personalization

A Broad Catalog. A More Relevant Visit.

AI Search for ECommerce

Their Words. Your Products.

A customer may know what they need without knowing your product name. We integrate AI site search that connects the meaning behind a query with relevant products and content, helping shoppers move from searching to evaluating.

  • Interpret intent beyond exact catalog wording
  • Help shoppers discover relevant products
  • Include useful content alongside product results
AI Search for ECommerce

Their Words. Your Products.

AI Emails

Give the Right Audience a Reason to Open

Use AI email marketing to connect customer interests with more relevant messages. We help integrate segmentation and personalized targeting with your ecommerce data, so campaigns support the products and audiences you want to reach.

  • Segment audiences around customer interests
  • Personalize targeting for relevant product messages
  • Connect email automation with existing marketing tools
AI Emails

Give the Right Audience a Reason to Open

AI Content Writing

A Growing Catalog. Less Starting From Scratch.

A growing catalog brings more product descriptions and campaign copy to prepare. We help apply AI content creation tools to drafting workflows, while your team controls product accuracy, brand voice, approvals, and publication.

  • Product descriptions
  • Blog posts and articles
  • Landing page content and meta descriptions
AI Content Writing

A Growing Catalog.

Less Starting From Scratch.

Beyond AI & Data Science End-to-end eCommerce Solutions

Design & Strategy
eCommerce design and strategy services tailored to optimize user experience and maximize conversions.
Technology
Bridging the gap between old and new – our engineering team is up to the task.
Mobile Apps
The world has gone mobile – from operations to customer engagement, mobile apps can change every stage of workflow for the better.
Marketing
Comprehensive marketing services designed to propel your brand to new heights in the digital landscape.

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FAQs

What can AI consulting services help our ecommerce business decide?
We start with your goals and data to identify useful applications and implementation requirements. That can mean assessing product discovery, repetitive marketing work, or an integration need. The first decision is which task to improve and how to evaluate it, before committing to a particular AI tool.
What can an AI consulting or implementation project include?
A project can cover opportunity assessment, workflow or application requirements, configuration or custom development, testing, and handoff. Define the specific build – such as a connected workflow, dashboard, or shopping feature – along with acceptance criteria, client inputs, and responsibilities. Include any training and documentation your team needs in the agreed scope.
Can AI integration services connect our existing ecommerce tools?
Forix works with Magento, Shopify, BigCommerce, and custom ecommerce solutions. AI integrations can involve your store, CRM, email platform, and other business systems. Identify which application needs which data, then assess compatibility, permissions, and data flows before selecting the approach.
How do internal workflows differ from customer-facing AI features?
Internal workflows coordinate your team’s tasks, data, and approvals – for example, routing content drafts for review or bringing performance information into a shared dashboard. Shopping experiences help customers search, compare, and select products. Define the users, connected systems, permissions, and success measures for each application.
What data do we need to make an AI project useful?
Match the information to the application. Workflows need defined inputs, systems, and approval rules. Dashboards need agreed data sources and metrics. Product discovery needs reliable catalog information; recommendations and personalization also depend on available behavioral data. Content drafts need approved product facts. Review readiness before deciding what to build.
Can reporting or dashboards help us see what needs attention?
A dashboard brings agreed metrics into view; alerts flag conditions that need attention. Neither automatically explains the cause or fixes the issue. Define the decisions you need to make, the available data, and who will investigate or act. Discuss dashboard requirements separately from monitoring and corrective support when scoping the work.
How will we know whether the AI application is working?
Choose the measure before judging the result. Product-discovery work may be evaluated through conversion rate or average order value; workflow work may call for time spent or review effort. Establish a baseline and account for changes in traffic, promotions, or other factors. A dashboard reports results; it does not by itself prove what caused them.
How will customer data and access be handled?
Establish which data the application needs, which tools receive it, and who can access it. Review vendor terms and privacy obligations before implementation, and define any restrictions on data use. Security and compliance requirements depend on the selected solution and the data involved; they need assessment for the actual project.
What should our team receive at handoff?
The handoff should equip your team to operate the agreed solution. Define access, operating instructions, documentation, and any training in the project scope. For a client-owned system, also establish ownership, third-party licenses, account control, and responsibility for future updates.
Is ongoing support required after the project?
Ongoing support is an optional engagement, scoped separately from project delivery. Your team can operate the system after the agreed handoff, with ownership and responsibilities defined in the agreement. If you want Forix’s continued involvement, specify maintenance, recurring reviews, monitoring, or future changes, along with coverage and costs.