Merchandise Analytics

3.8
(2)

Merchandise Analytics gives you control over what goes on between the aisles of your store, with predictivce analysis, you will be able to monitor how the store, your associates and your bottom-line is preforming.

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Merchandise Analytics Reviews

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Merchandise Analytics review by Matteo R.
Matteo R.
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"Great BI tool for merchandise data sorting"

What do you like best?

Easy to use, after a bit of time to catch up it becomes very interesting and permits good in-depth analysis. Permits to sort the dimensions in an efficient way and gets usually feed by another database, therefore you may need something like Epicor at the same time.

What do you dislike?

It is so hard to schedule reports and it differs a lot from Cognos in this regard. Also, standard template are hard to edit and at times it becomes frustrating to understand all the underlying rules (like timing of data dump etc).

Recommendations to others considering the product:

I think it's a good product and if you have more than tens of stores you should definitely use either this or Cognos.

What problems are you solving with the product? What benefits have you realized?

Basically building standard reports to send out internally. At times we can use this data for communications with seniors, stores, country managers etc.. It permits to even give standard reports to third parties so we can set it up and have it automatically sent to them.

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Merchandise Analytics review by User in Retail
User in Retail
Validated Reviewer
Review Source
content

"Man than merchandise analytics review"

What do you like best?

It is easy to implement with the companies help and gave us detailed insight into our data.

What do you dislike?

The support is great and easy implementation. But the price is little overboard. For large enterprises should not charge for vendor support.

What problems are you solving with the product? What benefits have you realized?

Used by the BI team for analytics promotions.

What Retail Management System solution do you use?

Thanks for letting us know!

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