Amazon's Recommendation AI Generates 35% of Their Revenue. What Percentage Does Yours Generate?
AI for SFCC, SAP Commerce, Magento, and Shopify Plus. Recommendations, dynamic pricing, AI customer service, inventory intelligence, returns automation. Each use case is a measurable revenue or cost impact.
Your E-Commerce Store Is Running on Manual Processes That AI Has Already Solved Elsewhere.
Inventory managed by spreadsheet and intuition
Stockouts cost you the sale. Overstock costs you the margin. AI demand sensing predicts what you need 30 days ahead with order-of-magnitude better accuracy than manual forecasting.
Customer service is your biggest cost center
80% of support tickets ask the same 20 questions. Your team answers them manually, at $12 per contact. An AI agent handles them in seconds at $0.10 each. The math is not complicated.
Personalization running on rules written in 2019
"Customers who bought X also bought Y" is not personalization. It is a lookup table. Real personalization is session-aware, intent-aware, inventory-aware, and margin-aware simultaneously.
Returns processed by hand
Every return requires a human to classify, route, assess, and process. AI handles classification and routing automatically. Your team handles only the exceptions.
Built for the platforms enterprises actually run.
Salesforce Commerce Cloud (SFCC)
The enterprise standard. AI agents replace the integration middleware between SFCC, your ERP, and your WMS.
SAP Commerce Cloud
Deep SAP ecosystem integration. Agents coordinate between SAP Commerce, SAP S/4HANA, and operational systems.
Adobe Commerce / Magento
Open architecture means faster agent deployment. API-first design makes integration straightforward.
Shopify Plus
For enterprise merchants on Shopify. Agent layer on top of Shopify's native capabilities.
Each one delivers a measurable number.
AI Customer Service Agent
80% ticket deflectionHandles order status, returns, product questions, account changes. Escalates to human only when needed. Available 24/7. Learns from every interaction.
Intelligent Inventory Forecasting
30-day demand visibilityPredicts stockouts before they happen. Triggers reorder automatically. Accounts for seasonality, promotions, and external signals simultaneously.
Personalization Engine
15-25% conversion liftSession-aware product recommendations. Real-time intent detection. Margin-aware ranking - not just relevance-ranked. Updates per page view.
Returns Automation
30% reduction in return rateClassifies return reason. Routes to appropriate workflow. Processes refund or exchange automatically. Flags fraud patterns. Human reviews exceptions only.
Dynamic Pricing Agent
Margin optimization in real timeMonitors competitor pricing. Adjusts prices within defined guardrails. Accounts for inventory levels, demand signals, and margin targets. Logs every decision.
Order Management AI
Fraud reduction + fulfillment optimizationDetects fraud signals before fulfillment. Routes orders to optimal fulfillment location. Handles split shipments. Monitors carrier performance. Escalates anomalies.
Assessment in 5 days. First use case live in 4 weeks.
E-Commerce AI Assessment (5 days)
We audit your current stack - platform, integrations, support volume, inventory accuracy, return rates. We identify the three use cases with the fastest and largest impact for your specific environment.
Use Case Prioritization
You choose which use case to implement first based on the assessment findings. We provide full cost, timeline, and ROI projection for each.
Implementation (4-8 weeks)
We build and deploy the AI system for the chosen use case. Full integration with your existing platform. You see it working before we hand it over.
Measurement
Every implementation includes instrumentation. You see the before/after numbers within 30 days of go-live.
Frequently Asked Questions
We are on SFCC. Is SFCC integration straightforward?
SFCC's API-first architecture makes AI agent integration well-defined. We have worked with SFCC's commerce APIs, OMS, and the Einstein layer. The assessment maps your specific configuration before we commit to an implementation timeline.
Can you work with our existing third-party systems - OMS, WMS, ERP?
Yes. The agent layer sits between your systems. It does not replace them. It orchestrates across them. We support SAP, Oracle, Manhattan Associates, Blue Yonder, and most enterprise OMS and WMS platforms.
How long before we see a measurable impact?
For AI customer service, deflection rates are visible within 2 weeks of go-live. For inventory forecasting, the first full demand cycle shows accuracy improvement within 30 days. For personalization, A/B test results are typically statistically significant within 3 weeks at normal traffic volumes.
Do we need a data science team to run this?
No. The systems we deploy are managed by RERIGHT or handed over to your engineering team with full documentation. No data science headcount required on your side.