More summer. Less floor.
The product is presented as time returned at home or in a holiday house, not as a long list of sensors.
“Let the robot clear the sand from the hallway while you spend the day outside.”
The starting point
The customer is asked to search.
A typical Facebook post announces that a new sales catalogue is available. The customer clicks, reaches another page, clicks again and is finally presented with the full catalogue. Only then does the work of finding something relevant begin.
The catalogue still has value. It provides an overview, campaign impact and room for many products. But it should not be the only entrance to the digital customer journey.
We do not replace the catalogue. We give each strong offer the chance to find the right customer.
Sales catalogue automation
One production. Many small customer encounters.
AI can structure product information and prepare first drafts. Human judgement decides which products, needs and stories are worth putting in front of customers.
01
Extract
Product, price, savings, features and campaign dates are taken from existing material.
02
Select
The retailer prioritises items with the right stock, margin, timing and local relevance.
03
Frame
Each product is linked to a recognisable customer situation rather than just a product code.
04
Publish
Posts and ads appear steadily with a direct route to the product, a question or the store.
05
Learn
Clicks, enquiries and sales show which products and stories deserve another round.
From product to recognisable need
Four products. Four different stories.
A small kitchen deserves help too.
The angle focuses on dimensions, capacity and an easier routine in a smaller home.
“Will it fit under your counter? Send the measurements and we will help you check.”
When the weekly shop no longer fits.
Storage, energy use and everyday logistics are explained from the family's point of view.
“Three signs your family has outgrown its refrigerator.”
Do not buy features you will never use.
The customer understands capacity, noise and programmes before the final conversation with the store.
“Eight or ten kilos? Here is the difference in an ordinary week.”
A small test case
No major digital transformation. Just a test we can measure.
1
Select 10–15 products
The retailer uses existing material and identifies the products it genuinely wants to sell.
2
Create the variations
We prepare story angles, visual direction, posts and audience suggestions.
3
Run for 3–4 weeks
The content appears as a steady stream instead of one isolated campaign push.
4
See what works
The results are collected simply and become the foundation for the next round.
Division of work
Technology produces. Experience prioritises.
AI can help
- Read and structure campaign material
- Prepare copy and advertising variations
- Adapt format and message to different channels
- Collect learning from published content
People must decide
- Which products the retailer should prioritise
- Whether price, stock and product facts are correct
- Which voice fits the local business
- When personal advice should take over
The opportunity after the pilot
From one local shop to a repeatable concept.
If a limited test creates measurable interest, the method can be repeated for the next campaign and later adapted for more shops in the same retail chain. Each store keeps its local voice while production becomes easier to share and scale.
Can AI turn a PDF catalogue into posts?
Yes. Product data, prices and descriptions can be extracted and used as the basis for drafts. Price, availability and factual claims must be checked before publication.
Should every product be advertised?
No. The value lies in selection. A smaller number of relevant products linked to clear customer needs is better than another stream of generic noise.
Does this require a new IT system?
Not to test the idea. A pilot can use existing campaign material, the retailer's normal channels and a simple workflow.
Is this intended to replace store employees?
No. The system prepares the ground and helps the customer form a better question. The store takes over when expertise, trust, delivery and the final purchase need to be resolved.