Retail, consumer goods & e-commerce

Consumer brands, retailers, restaurants, local merchants and online commerce.

55 contributions across 5 experiences

Where this industry appears in the career

Often together withLogistics & supply chain Biopharma, global health & life sciences Manufacturing, chemicals & industrials Public sector & international organisations Banking & financial services Technology consulting & IT services

2025–202624 contributions

Solara28

Founded, ideated, architected and single-handedly developed Solara28, an AI-native multi-tenant SaaS platform for European commerce verticals — food services, restaurants, pharmacies, grocery retailers, wine and spirits, catering, coffee shops and event ticketing — positioned under the vision “Illuminate your commerce” as a local-first, zero-commission alternative to global marketplace aggregators and platforms such as Amazon, Shopify, Just Eat, Deliveroo, PrestaShop and WooCommerce. Evidence ↗
Designed a sustainable, zero-commission commerce model enabling independent B2C ecosystems, in which merchants retain full ownership of customer, order and product data while improving long-term profitability.
Engineered Solara28 as a high-performance, AI-powered match for global marketplace incumbents on enterprise capability, while preserving local control, regulatory compliance and economic value distribution for independent merchants.
Produced promotional videos with AI video generation (Seedance 2.5 in Dreamina).
Architected and implemented a governed Agentic Factory coordinating eight specialised virtual teams and 32 autonomous AI agents across the end-to-end software delivery lifecycle, generating 6,000,000+ lines of production-ready code, documentation and change artefacts in under one year across a polyglot stack (TypeScript, Supabase/PostgreSQL, FastAPI, Stripe, Vercel).
An audited codebase review (August 2026) across eight engineering roles — frontend, backend, database, QA/security, DevOps, localisation, architecture and documentation — estimated the work at about 274.8 person-years (60,462 working days), roughly 275 engineers for one year, with a salary-equivalent labour value of about CHF 30.1M / EUR 19.6M at the midpoint (range CHF 25.9M–34.3M / EUR 15.5M–23.7M); all of it was delivered single-handedly. Evidence ↗
Established Solara28 as a large-scale reference implementation of Agentic AI product engineering, demonstrating the viability of autonomous multi-agent systems in enterprise-grade software delivery.
Designed, built and published the open-source Buonaiuto-Doc4LLM MCP server, which auto-detects a project’s library stack, fetches current official documentation and serves it version-aware to AI coding assistants — the RAG infrastructure that kept the agents’ 6M+ lines of code aligned with current, secure architectural standards and eliminated API hallucinations.
Delivered mobile-first, WCAG-accessible experiences in five languages from day one — Italian, English, German, French and Spanish — with theme-based templates for 9+ store verticals, including restaurant ingredient customisation, pharmacy prescription workflows and event ticketing with QR check-in.
Moved Solara28 from architecture and development into controlled production readiness, including security hardening, environment separation, release governance, monitoring, backup and recovery procedures and operational support processes.
Delivered 300+ discrete business functions across platform and store contexts, including product catalogue management with customisers, multi-step checkout, order lifecycle management, delivery-zone configuration, driver assignment, workforce logistics, automated SDI e-invoicing and support/ticketing workflows.
Designed as next-generation commerce infrastructure for local economies, combining AI-native operations, multi-tenant SaaS architecture and decentralised business ownership to support European business sovereignty and restore data sovereignty, margin control and customer ownership to independent merchants.
Developed an ecosystem strategy covering payments, accounting and e-invoicing, logistics, local commerce associations, digital agencies and technology providers to accelerate merchant acquisition and operational integration.
Established an end-to-end autonomous AI delivery model covering architecture design, code generation, testing, security validation, cloud implementation and documentation, with every artefact traceable to requirements, architecture decisions, source-control changes, code review, automated testing, security scanning and release approval; the Agentic Factory executed work across engineering, QA, DevOps, compliance, localisation, marketing, branding, e-commerce and online payments.
Governed the automated delivery lifecycle — architecture, software engineering, testing, security, DevOps and documentation — as an agentic AI operating model aligned with the EU AI Act.
Architected a provider-agnostic LLM service layer (TypeScript/Node.js/Supabase) connecting OpenAI, Anthropic and Gemini APIs, with configurable provider settings, prompt governance, conversation logging and health monitoring, powering conversational and voice-enabled commerce (“Talk to Your Shop”), automated catalogue ingestion from PDFs, photos and Excel, and predictive revenue forecasting.
Embedded operational AI directly into the commerce execution layer: one-click PDF-to-live-store catalogue imports, natural-language conversational assistants, voice-enabled customer ordering via chatbots, a Merchant AI Assistant and predictive CRM analytics built natively into the platform.
Architected the platform so merchants retain full ownership of all operational and customer data, with a GDPR-native multi-tenant architecture for the European market, automated audit trails and European data residency.
Engineered a secure PostgreSQL architecture with hundreds of tables and compound Row Level Security policies, enforcing deterministic tenant isolation across platform, store, staff and customer contexts, with governance-by-design audit logging, activity feeds and observability of API latency, background jobs, errors and cache performance.
Built a polyglot, high-performance stack on TypeScript, Supabase/PostgreSQL, FastAPI and Apache Spark, supporting real-time operations, analytics and scalable AI workloads.
Designed a fully API-first commerce infrastructure governing the complete retail lifecycle — dynamic catalogue management, logistics and proprietary driver-network routing, native multi-channel CRM and loyalty analytics — enabling modular extensibility and third-party integrations.
Built the platform administration domain: store onboarding and lifecycle, subscriptions and seat management, permission templates, monitoring dashboards, feature flags, audit and operational tooling, cross-store analytics, and billing with SDI e-invoicing for Italy.
Built the store operations domain: catalogue and category management, order lifecycle and control centre, delivery operations and driver management, reviews moderation, reporting and analytics, theme and branding configuration, and staff management including bulk import.
Implemented automated loyalty management (points, tiers, rewards) and RFM-driven customer insights integrated with CRM workflows, email marketing automation and customer intelligence to support retention and repeat purchasing.

201811 contributions

Fair Trade Handels

Achieved a +561% quarterly revenue increase with a data-analytics marketing campaign using predictive behaviour modelling for the 2018 World Cup.
Delivered 8% savings on shipping fees through operations and supply-chain analytics, and +12% customer conversions through real-time campaign analytics.
Head of Data Science and member of the Senior Management Team, leading the shift to a data-driven culture and creating the company’s first Department of Data Science & Reporting.
Defined and executed the new digital and data strategy — resources, technology and architectures — leading organisational change and aligning processes and resources to the new direction.
Restructured functions, technical teams and programmes into a digital, data-driven organisation, optimising distribution, revenue management, pharmaceuticals, decision-making and sales operations.
Led data governance on the DAMA Body of Knowledge framework, ensuring compliance with GDPR, SOPs, GMP and GCP.
Built the data and reporting estate on Snowflake and implemented dashboards with KPIs for customer engagement, global supply chain, digital marketing, sales operations, change management and programme management.
Introduced utilisation and capacity governance across distributed teams to balance growth, quality and profitability in regulated delivery environments.
Defined market-access and commercial analytics strategies, improving visibility across key markets and supporting increased product uptake.
Architected a new enterprise data architecture and data valuation model, changing how business processes measure and prioritise the value of data.
Implemented end-to-end data-flow and integration standards and GDPR-compliant master data, making data FAIR across functions.

2013–20189 contributions

Nespresso (Nestlé)

Supported the global restructuring of Nespresso’s data analytics function, migrating operations and technologies to a centralised analytics hub.
Senior Managing Consultant with broad scope across digital and data science in Nespresso’s commercial and e-commerce business, focused on integration, forecasting, communication and coordination across global markets.
Engineered and launched a unified data-layer infrastructure across all online Nespresso markets, applying DevOps principles and a CI/CD pipeline.
Implemented an A/B/n multivariate testing strategy that significantly improved campaign effectiveness and ROI, integrating sentiment analysis and topic modelling for actionable insights.
Implemented data-science modules for the global multi-device platform, including user-behaviour tracking in all markets and cart-abandonment retargeting.
Audited the corporate data analytics function for all markets together with Adobe and Google, ensuring best practices and technology optimisation.
Designed the institutional performance-metrics framework for Nespresso e-commerce, supporting customer engagement, performance management and optimisation of budget spending across all markets.
Led the data and analytics stream of Nespresso’s e-commerce transformation, supporting its organisational integration within the Nestlé group.
Supported local markets in implementing data-driven marketing-mix optimisation, with experimentation run on Adobe Marketing Cloud.

2024–20252 contributions

EPAM Systems

Spearheaded the global expansion of EPAM’s Data & AI practice across EMEA, North America, APAC, LATAM and CIS, defining strategic direction for AI, Generative AI and Agentic AI, and led client engagements and pre-sales across banking, government services, logistics, consumer goods, biopharma, chemicals, telecommunications, energy and industrials.
Global coffee company, Netherlands: led the analytical assessment of predictive analytics for global shipment delays — historical shipping and customs data, key delay drivers, model performance — and delivered the resulting AI strategy and offering.

1994–20061 contribution

CapodannoRoma, Helloitaly & Radio&Data Communications

Pioneered, architected and scaled Italy’s first B2C e-commerce platform for live-event ticketing as Start-up Founder & Chief Technologist at CapodannoRoma, Rome (1994–2006).

Profile6 contributions

Across the career

Drives the innovation lifecycle from drug discovery to high-volume consumer e-commerce.
Brings cross-industry experience spanning biopharma, banking, insurance, life sciences, chemicals, manufacturing, supply chain, finance, e-commerce, public sector, NGOs and FMCG.
Has delivered AI and data solutions for both scientific and commercial environments, from biomedical R&D and manufacturing to retail and local commerce.
Delivers end-to-end e-commerce platforms spanning catalogues, product customisation, orders, payments, delivery, logistics, loyalty, CRM, analytics and billing.
Designs commerce systems that support restaurants, food services, pharmacies, grocery retailers, events, ticketing and other specialised business models.
Applies Generative AI to merchant operations, customer engagement, catalogue management, forecasting, personalisation, route optimisation and fraud detection.

Skills2 contributions

Skills & applied knowledge

Digital commerce, content management, web publishing, digital marketing, funnel analytics, marketing automation, lead generation, programmatic advertising, remarketing, data-management platforms, tag management, data layers, paid search and digital advertising.
Digital commerce and marketing technologies: Adobe Creative Cloud, Experience Cloud, Analytics, Target, Campaign, Audience, Experience Manager and Dreamweaver, Monetate, SAP Hybris, SAP BW, Marketo, Google Analytics, Google Marketing Platform, Google Ads, Criteo, Nosto, Numberly, Stripe and Stripe Connect.

All industries

Retail, consumer goods & e-commerce 55 Scientific research & academia 55 Public sector & international organisations 54 Biopharma, global health & life sciences 52 Agriculture, food & environment 30 Technology consulting & IT services 30 Logistics & supply chain 16 Manufacturing, chemicals & industrials 11 Banking & financial services 8 Media & publishing 4 Energy 2 Telecommunications 2