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Hello!
I'm having a challange solving a problem for an end-user. What the user wants is more or less an analysis of what brands their customers purchase, if they purchase XX and also purchase brand YY.
Trying to put it simple; Customer purchase brand A, B and C - selecting brand A would get possible selections on brand B and C. and so on.
The result would be something like this;
BRAND1 BRAND2
A B
A C
B A
B C
C A
C B
If another customer buy items of brand C and D then the tables should be something like this
BRAND1 BRAND2
A B
A C
B A
B C
C A
C B
C D
D C
and so on.
Have tried to search for something in these lines without any success unfortunately.
Is there someone out here that has a clue on how to achieve this or has any input at all I would love to hear your ideas.
Thanks in advance!
//Niklas
See attached qvw. Is that close to what you're looking for? If not try searching for basket analysis on the forums too.
Incorporating retail tech services like predictive analytics and machine learning algorithms can greatly assist in solving your challenge. By leveraging data on customer purchase behavior, these tools can provide insightful brand and shopping cart analysis. This analysis can reveal patterns and correlations, helping to identify brand affinities and suggesting complementary products, ultimately providing a seamless shopping experience and driving sales.