AI in Retail Print

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Shops and physical stores.

WHERE IT HELPS

Demand forecasting and stock planning Product descriptions for online listings Analysing sales patterns Customer feedback analysis Marketing content Staff scheduling

FOR STOCK

Forecasting from sales history, where you have it.

Most small retailers have the data in their till system and never analyse it.

FOR SLOW-MOVING STOCK

"Here is twelve months of sales by product. What has not sold? What is declining?"

Dead stock is money sitting still, and most shops do not know how much they have.

FOR PRICING

Analysis of margin by product, from your own figures.

Never accept a suggested price. That is a business judgement.

FOR CUSTOMER ANALYSIS

Patterns in what sells together, when, and to whom.

WHAT MUST REMAIN HUMAN

What to stock Pricing Staff decisions Customer relationships

FOR SMALL SHOPS

The practical gains are stock analysis and online listings.

Start with what is not selling.


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