Our Services

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Our AI & Machine Learning Capabilities

Data Annotations & Labeling

Training data prepared by commerce specialists who understand product taxonomies and customer behavior. Unlike generic outsourced labeling, our teams know commerce patterns that make or break model accuracy.

  • Computer vision annotation for product images and visual search
  • NLP labeling for reviews, sentiment analysis, and intent classification
  • Commerce-specific tagging (categories, attributes, product matching)
  • Quality assurance by domain experts who understand commerce
Custom AI Model Development

llocate marketing budget based on what actually drives commerce results. We analyze performance across paid search, social, display, email, content, and affiliates to recommend optimal mix and investment levels per channel.

  • Channel mix optimization and budget allocation
  • Paid media strategy (search, social, display, video)
  • Owned media strategy (email, content, SEO)
  • Earned media and partnership strateg
Customer Lifecycle Design

Tailored machine learning models for challenges SmartCX doesn't solve out-of-box. Built for production from day one with monitoring, versioning, and continuous improvement baked into the architecture.

  • Demand forecasting models trained on your historical data
  • Customer behavior and propensity models for your segments
  • Custom recommendation engines beyond standard collaborative filtering
  • Fraud detection algorithms tuned to your risk patterns
Generative AI Implementation

Large language models (LLMs) and conversational AI integrated into your commerce experience. Includes guardrails, quality controls, and human oversight to ensure brand consistency and accuracy..

  • AI-powered customer service chatbots trained on your products and policies
  • Product description generation at scale while maintaining brand voice
  • Conversational commerce and guided selling for complex purchases
  • AI content creation for marketing campaigns and merchandising
Computer Vision

Visual AI for product discovery, operations, and quality control. Automates categorization, enables visual search, and ensures quality across your commerce operations.

  • Visual search and image recognition for product discovery
  • Automated product categorization and taxonomy assignment
  • Quality control and defect detection for photography and goods
  • Smart attribute extraction from visual content
Natural Language Processing

Text analysis to extract insights from reviews, enable voice commerce, and power intelligent conversations. Understands customer intent even when phrased differently.

  • Review analysis and sentiment scoring to identify improvements
  • Voice commerce and voice search for hands-free shopping
  • Chatbot intent recognition and dialogue management
  • Customer feedback categorization and theme extraction
AI Strategy & Enablement

Strategic guidance to prioritize AI investments and build internal capabilities. Includes maturity assessments, use case prioritization, and team training for long-term success.

  • AI maturity assessment and capability gap identification
  • Use case prioritization with ROI modeling and feasibility analysis
  • Build vs. buy vs. leverage SmartCX recommendations
  • Team training and AI upskilling programs

Why Partners With Us

Commerce-specialized

15+ years training AI on commerce data, not generic datasets. We understand product taxonomies, buying patterns, and fraud signals unique to commerce.

Real transaction data

Our models learn from 2M+ monthly commerce transactions. Your AI benefits from patterns across industries we've already identified and solved.

Integrated approach

AI connects to platforms we build and operations we run. The team that develops your models also integrates them and maintains them 24/7.

SmartCX accelerator

Leverage pre-built modules (demand forecasting, fraud detection, churn prediction) where applicable. Custom-build only when needed.

Results You Can Expect

Rapid Marketing Strategy

Rapid Marketing Strategy

93% demand forecasting accuracy proven in production with major retailers

6–8 Week Pilots

6–8 Week Pilots

6-8 weeks for AI pilots and proof-of-concepts

3–4 Month Deployment

3–4 Month Deployment

3-4 months for full production deployment with ongoing optimization

30–50%  Accuracy Gain

30–50% Accuracy Gain

30-50% better model accuracy vs. outsourced data labeling

How This Integrates

Advanced Analytics & Forecasting

Custom models we develop feed into predictive analytics for demand forecasting, churn prediction, and lifetime value modeling.

Commerce Platform Implementation

AI capabilities integrated during platform builds mean personalization, recommendations, and fraud detection work from day one.

Marketing & AI Operation

Models we develop are maintained by AI Operations teams with continuous training, monitoring, and optimization.

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