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Merchandise Analytics

By Manthan Software Services

4.1 out of 5 stars
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Merchandise Analytics Reviews & Product Details

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Merchandise Analytics Reviews (4)

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Merchandise Analytics Reviews (4)

4.1
4 reviews

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Varun J.
VJ
Merchandise Analyst
Mid-Market (51-1000 emp.)
"BEST FOR MERCHANDISE ALLOCATION"
What do you like best about Merchandise Analytics?

helped to better understand the overall performance of the business . we are able to very quickly real business value out of the solution which helped to get buy-in. Review collected by and hosted on G2.com.

What do you dislike about Merchandise Analytics?

there is nothing to dislike the app has exceeded expectations. Review collected by and hosted on G2.com.

Nathan R.
NR
Follow up Rep
Small-Business (50 or fewer emp.)
"Very Good"
What do you like best about Merchandise Analytics?

The ease of use of the program with an excellent user-friendly layout. Very easy to find the tracking information within the program. This is an excellent product to use. I recommend using this program. Review collected by and hosted on G2.com.

What do you dislike about Merchandise Analytics?

There was nothing that I disliked about the program. This is an excellent product to use. Review collected by and hosted on G2.com.

Verified User in Retail
UR
Enterprise (> 1000 emp.)
"Man than merchandise analytics review"
What do you like best about Merchandise Analytics?

It is easy to implement with the companies help and gave us detailed insight into our data. Review collected by and hosted on G2.com.

What do you dislike about Merchandise Analytics?

The support is great and easy implementation. But the price is little overboard. For large enterprises should not charge for vendor support. Review collected by and hosted on G2.com.

Matteo R.
MR
Global Sourcing Project Manager
Packaging and Containers
Enterprise (> 1000 emp.)
"Great BI tool for merchandise data sorting"
What do you like best about Merchandise Analytics?

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. Review collected by and hosted on G2.com.

What do you dislike about Merchandise Analytics?

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). Review collected by and hosted on G2.com.

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