AI for retail and e-commerce
Assortments grow faster than content can follow. At the same time campaigns must run, feeds must be correct and numbers must hold up without cookies.
In retail, AI pays off where the same task recurs thousands of times: product copy and imagery per variant, language versions for further markets, category texts, feed maintenance and recurring campaign building blocks. Davies Meyer builds that production as one chain with brand validation and approval — connected to PIM, shop and ad accounts instead of running as a separate tool.
Our approach: creative engineering
We work neither as tool consultancy nor as a classic production agency, but in between: creative engineering means building the production chain behind the creative work — templates, generative modules, checkable brand rules and delivery as one system. The creative judgement stays with the team, the multiplication becomes an engineering task.
The concept stays human
Idea, visual language and tone are created as before. What follows is what gets automated: variants, formats, language versions, delivery.
Brand rules the machine can check
Colour, typography, logo usage, forbidden claims — stored as rules that apply automatically before approval instead of sitting in a PDF guideline.
Production as a chain, not a tool
Template, generative module, validation step, approval and delivery interlock. A single tool without that chain only moves the manual work elsewhere.
Impact measurable at creative level
We evaluate not only the campaign but the individual attribute: hook, composition, colour world, length. That feeds the next production round.
What we take on
Product content at scale
Copy, imagery and variants per article, generated from existing product data and checked against brand rules and mandatory information.
Language versions for further markets
Localisation of assortment and campaign content, including terminology, units and market-specific mandatory information.
Campaigns and creative testing
Variants per channel and audience, automated testing and evaluation down to attribute level — hook, composition, format.
Measurement without third-party cookies
Server-side tracking, consent logic and models that show channel contribution even without the cookie chain.
How the engagement runs
- 01
Take stock
We look at existing workflows, systems and data sources and record which steps cost time today.
- 02
Pick the use case
One case with a clear metric and manageable risk goes first. Baseline and target are fixed beforehand.
- 03
Build and integrate
Production, validation and approval are connected to existing systems instead of adding another isolated tool.
- 04
Hand over
Playbook, training and documentation are part of the delivery so the internal team can run it.
Frequently asked questions
30 minutes, a concrete assessment
Describe your use case briefly — we will say plainly whether and how it pays off.