Lumicos Beauty

Context

Lumicos is a D2C cosmetics brand with a recognisable visual identity and an ambitious release cadence — new collections, limited drops, seasonal campaigns. The marketing team needed a constant cadence of fresh product imagery and social content, but the cost of an agency retainer wasn’t sustainable, and in-house production couldn’t keep pace.

Problem

Every new product launch needed: 6–10 product hero shots, 4–6 social posts, a campaign hero, and 2–3 in-context lifestyle images. The agency took 3–4 weeks per launch. The brand team had no production capacity. The result was launches going out with stock-feeling photography or delayed campaigns.

Approach

We built a multi-modal content pipeline that ingests product specs and the brand’s existing style guidelines, generates candidate imagery and post copy, and routes everything through a brand-team approval queue. Nothing publishes without human sign-off — the pipeline is a creative amplifier, not an autonomous publisher.

What we built

• Brand-conditioned image generation — Stable Diffusion fine-tuned on Lumicos’s existing photography for on-brand outputs
• Post copy drafting — OpenAI-powered drafting using Lumicos’s brand voice guidelines
• Campaign asset templates — pre-defined templates for product heroes, lifestyle shots, social tiles
• Approval queue — brand team reviews every asset before it ships; rejections feed back into the prompt library
• Cloudinary integration — approved assets land in Lumicos’s existing media library, ready for the storefront

Stack

Python · OpenAI · Stable Diffusion · Cloudinary

Outcome

• [PLACEHOLDER] Weekly content output up ~5×
• [PLACEHOLDER] Content production cost down ~60%
• Brand team time shifts from creating to curating

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This is a DRAFT case study. Real engagement specifics and a signed-off client quote must be substituted before launch. See spec §7.3 and §13 for the launch gate.