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recommence.co.uk
Built natively on Gemini.
Brick and mortar is the last frontier
AI has yet to reach.
E-commerce brands have access to AI product photography, personalisation engines, and recommendation algorithms. Independent high street retailers have none of it — not because the technology doesn’t exist, but because nobody has built it for them.
Recommence changes that by deploying Gemini APIs into a market that has never had access to them: 10,000+ UK independent fashion boutiques and the millions of consumers who shop locally.
This is not an AI wrapper. It’s a production Gemini API workload — and it scales with every merchant and every city we enter.
The Brick & Mortar Gap
16
distinct Gemini-powered image generation modes deployed in production across merchant and consumer surfaces
768-dim
vector embeddings on every product in the platform, enabling Gemini-powered semantic search across merchant inventory
10,000+
UK independent fashion boutiques — our addressable market for Gemini API deployment
Scales linearly
Every merchant onboarded and every consumer generation is a direct Gemini API call — usage grows proportionally with market expansion
Professional Gemini-powered AI for retailers. Real discovery for their customers.
Shoppermo is our flagship product — a two-sided platform connecting independent fashion boutiques with local consumers through a suite of professional generative AI tools built on Gemini. Merchants get 16 AI image generation modes to rival any e-commerce brand’s studio. Consumers generate photorealistic avatar try-on images from any merchant’s inventory before visiting the store.
How we generate revenue
The AI tools attract and monetise merchants early. That revenue subsidises the consumer side. As the platform grows, both sides compound.
Empower the high street.
Most AI companies build for e-commerce.
We build for brick and mortar.
Independent retailers shouldn’t have to choose between adopting AI and staying in business. Our tools are designed to be accessible, affordable, and immediately valuable — so the high street can compete on equal terms with any online giant.
How we build on Google AI
Gemini API as the image generation backbone
All 16 merchant modes and consumer try-on run through Gemini image generation APIs. Our prompt engineering and post-processing pipeline consistently produces outputs that outperform OpenAI, Midjourney, and every comparable service we’ve benchmarked.
Gemini Embeddings for semantic product search
Every product in the platform is indexed using Gemini embedding models into 768-dimensional vector space via pgvector. This enables semantic search across merchant inventory — finding what shoppers mean, not just what they type.
Context-aware generation pipeline
Our pipeline passes product images, merchant context, and consumer avatar data to Gemini in orchestrated multi-modal requests — producing consistent, high-quality outputs across diverse input types at scale.
Scales with the network
Every merchant onboarded generates a product embedding index. Every consumer try-on is a Gemini API call. The architecture is designed so that Gemini usage scales linearly and proportionally with platform growth.
Growing Gemini usage at every step
Shoppermo launches in Glasgow. Then the UK. Then Europe.
Each new city means more merchants onboarded, more product embeddings indexed, and more consumer try-on generations — every one of them a Gemini API call. The platform, the generation pipeline, and the embedding infrastructure are built to scale that consumption proportionally and without architectural limits.