LLM Consulting Services
Not every business needs a model built from scratch. We assess your data and recommend whether fine-tuning, integration, or custom LLM development is the right route for your budget.
Reasons most eCommerce AI projects stall
before they reach production
It's rarely the model that fails. It's the fit between the model and your actual product data, customer queries, and compliance requirements.
Product information, order data, pricing rules, and supplier records all pass through AI tools. A poorly planned setup risks exposing sensitive data or breaching UK GDPR and data protection requirements your business is already accountable for.
Generic models misread customer intent and recommend the wrong products. On an eCommerce store, one wrong answer damages trust, and one poor recommendation costs you a sale you'd already won.
Token usage, API calls, failed experiments, and unplanned integrations add up fast. Without a clear roadmap, LLM development becomes expensive before it produces any measurable return.
Generic AI tools impress in a demo but don't understand your categories, products, or buying process. The gaps surface the moment a real customer asks a real question.
A model with no domain training gives different answers to the same question depending on where it's deployed, confusing customers and creating more support work, not less.
