We design and deploy AI agents, multi-agent systems, and workflows for eCommerce teams — covering content, digital shelf, and marketplace operations through to pricing, reviews, analytics, retail media, and customer service.
Each area maps to a specific team, a specific process, and a specific KPI. Not "AI in general" — but AI in the right place within a workflow.
Thousands of SKUs require constant updates and adaptation across different platforms.
AI generates, adapts, and validates descriptions, attributes, and images to meet each platform's requirements.
Brands lack real-time visibility into product listings, prices, ratings, and search visibility.
AI monitors product listings 24/7, detects anomalies, and prioritises actions.
Manual price and inventory monitoring, reactive decisions, stockouts and overstock.
AI tracks competitors, forecasts demand, and suggests pricing scenarios.
Reviews are processed slowly with no systematic analysis of the root causes of negative feedback.
AI classifies reviews, extracts the causes of negative feedback, and drafts responses for review.
Routine inquiries overwhelm support teams and SLA targets rise.
An AI agent handles order statuses, returns, and routine questions, escalating complex cases.
Thousands of SKUs across dozens of platforms with constantly changing requirements.
An AI manager auto-uploads listings, handles moderation, prepares promotions, and generates reports.
Manual campaign management across dozens of platforms with opaque ROI.
AI analyses placement performance and recommends bid and budget optimisations.
AI agents handle repetitive tasks, work with data and systems, and prepare recommendations and actions — while remaining controllable through constraints and human oversight.
AI implementation is not about "deploying a chatbot." It is a structured effort involving processes, data, roles, and KPIs.
Process audit: we identify areas where AI will deliver measurable impact — time savings, error reduction, speed improvements, or revenue growth.
Audit · 2–3 weeksWe document the current workflow, roles, data, systems, decision points, and human checkpoints.
Process designWe build AI agents, RAG pipelines, data flows, and interfaces. Integrations with PIM, ERP, CRM, OMS, BI, and marketplace APIs.
Development · pilotWe connect to the client's production systems, configure access controls, audit logs, security rules, and quality checks.
DeploymentWe track KPIs, improve prompts, models, rules, and data. We automate new sections of the process.
Impact managementA reference solution architecture. Each layer has specific systems, artefacts, and control points.
A request passes through all six layers: data → knowledge → agent → governance → output → channel. An audit log is recorded at every step; humans are brought in on critical decisions.
Our own products help collect data faster, manage content, and embed AI into eCommerce workflows. In integration projects they are used as ready-made modules or customised to specific requirements.
Digital shelf analytics. Monitoring of listings, prices, availability, visibility, ratings, and competitors.
Rich content and content syndication. Production, adaptation, and delivery of content to platforms.
Product information management. Centralised management of product data and attributes.
Where to Buy. Commerce activation on brand websites with direct links to purchase points.
Shop-in-Shop and brand zones. Brand presence within partner retail platforms.
AR and product interaction. Augmented reality for immersive product experiences.
Some clients are under NDA. Case studies and project details are available on request.
Size mapping and cross-brand/cross-retailer matching. AI identifies discrepancies and suggests corrections.
Generation and adaptation of visual content, descriptions, and rich content to meet platform and retailer requirements.
Automated validation of listings, attributes, content quality, and moderation of incoming SKUs.
Monitoring of listings, prices, availability, visibility, ratings, and competitors across dozens of platforms.
AI analysis of reviews, identification of the root causes of negative feedback, and automated drafting of responses for the moderator.
Eight reasons that distinguish a vertical AI partner from a generic AI agency or a general-purpose systems integrator.
A long track record in digital and online retail — from agency work to operational AI partnership.
Proven work with major international brands in FMCG, electronics, fashion, and pharma.
We know the content, attribute, moderation, and rich content requirements across dozens of platforms.
6 products in production — from digital shelf analytics to AR and shop-in-shop.
AI implementation is about workflows, data, roles, permissions, and KPIs. Not just UI.
Project teams include practitioners from eCommerce and online retail, not only engineers.
Guardrails, human-in-the-loop, audit logs, role-based access, and quality control — by default.
We take responsibility for business outcomes, not just for the fact that an AI agent was deployed.
AI is deployed with security, data protection, and corporate policy requirements in mind. Without this, a pilot never leaves the sandbox.
An international community of eCommerce leaders: events, research, and case study sessions. Meetings in Dubai, Jakarta, Mexico City, and Seoul.
Tell us about your challenge — we will propose a process audit, a pilot, or a full integration.