Data Analytics & AI
Turn your data, content, and operational workflows into deployable AI systems — from product imagery and listing automation to SEO and social workflows, making AI a measurable part of daily operations.
The challenges you're facing
Scattered data, labour-intensive content production and AI tools that won't connect — these are the points where bringing AI into production most often stalls.
Scattered data with no full picture
Commerce, marketing and operations data live in separate SaaS tools, so you can't assemble one operating view to make decisions from.
Content production is manual and won't scale
Product imagery, copy, SEO and social posts all start from scratch, and headcount can't keep pace with your expanding catalogue.
AI tools bought but never wired into the business
The PoC finishes and stops there — no data pipeline, prompts or evaluation connected to real workflows.
AI capabilities
From generated content to data insight — six capabilities you can adopt on their own or integrate into an end-to-end AI production line.
AI product image generation
The Pavora AI production line — from models and scenes to brand contexts, product imagery produced at scale with a consistent style.
- Virtual models & scenes
- Consistent style & lighting
- Scalable batch production
AI product listing automation
Shopify headless × AI titles / descriptions / SEO meta — products move from SKU data to publish-ready listings through one connected workflow.
- Shopify brand commerce
- AI product copy
- Proven on Pavora Select
Automated SEO engine
From keywords to content generation plus automatic GSC feedback, so SEO becomes an iterable engine rather than a one-off project.
- GSC feedback loop
- AI content at scale
- Rank tracking & rewrites
AI social & content automation
Automated Meta / Google content production — copy and imagery prepared for cross-platform publishing with clearer review and scheduling workflows.
- FB / IG auto-scheduling
- AI copy + imagery
- Consistent cross-platform narrative
Data dashboards & insight
Bring operations, commerce and marketing data into a single dashboard so AI conclusions map back to the numbers.
- Single source of truth (SSOT)
- AI summaries & anomaly alerts
- Custom decision dashboards
Model integration & RAG
OpenAI / Anthropic / Gemini multi-model integration plus enterprise-knowledge RAG to wire AI into the business.
- Multi-model routing
- Vector search RAG
- Prompt governance & eval
How we deliver
From AI-opportunity audit to go-live typically takes 6–12 weeks, depending on the number of modules and integration scope.
Consult
Week 0–1AI-opportunity audit, data-readiness review and a requirements proposal
Design
Week 2–4Data pipelines, prompt and model selection, ROI estimate and a formal quote
Deployment
Week 5–8AI module deployment, workflow integration, evaluation and training
Operations
OngoingPerformance monitoring, model iteration, quarterly optimisation and cost management
Technology stack
Industry-standard AI models and cloud foundations, selected and combined by task type — generation, reasoning or retrieval.
OpenAI
Anthropic
Google Gemini
- OpenAI
- Anthropic
- Google Gemini
Google Cloud
MongoDB- Vector search & RAG
- Google Cloud
- MongoDB
- Vector search & RAG
Related services
Cloud & Infrastructure
Run your AI on a solid multi-cloud foundation — GCP / AWS / Cloudflare integrated in one place.
Learn more →Cybersecurity
Security built into the architecture — WAF, DDoS, IAM and SOC monitoring for end-to-end protection.
Learn more →Application & Platform Services
Shopify headless, API integration and CI/CD so your existing systems compound each other's strengths.
Learn more →Run an AI-opportunity audit for your business
See how a Pavora-grade AI production line lands in practice — book an initial AI consultation, from opportunity audit to implementation roadmap.