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PROS Scientific Analytics vs Zylotech Customer Analytics Platform comparison

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Ranking
4th
Views
114
Comparisons
59
Reviews
0
Average Words per Review
0
Rating
N/A
8th
Views
30
Comparisons
16
Reviews
0
Average Words per Review
0
Rating
N/A
Comparisons
Also Known As
DataXylo
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Overview
PROS Scientific Analytics quickly identifies product and customer segment-specific profit improvement opportunities. PROS Scientific Analytics integrates with PROS Price Optimizer and PROS Deal Optimizer modules to provide decision support as you set enterprise pricing strategy, create price lists and contracts, and provide sales approvals.

Headquartered in Cambridge, MA, Zylotech is an artificial intelligence powered customer data & analytics platform spun out of MIT in 2014. Zylotech’s AutoML platform solves data variety and quality challenges to create a unified and enriched customer database using all available data sources. The platform continuously unifies data and performs ongoing analysis such as micro-segmentation, product recommendations, cross-sell/up-sell opportunities and retention/churn risk scoring. The platform integrates with a variety of marketing clouds to enable deeper customer insights. Zylotech’s clients include Retail, High Tech, and Financial firms, who have reported up to a 6x increase in customer lift.

Offer
Learn more about PROS Scientific Analytics
Learn more about Zylotech Customer Analytics Platform
Sample Customers
Virgin Atlantic, EgyptAir, Emirates, ABB, McKesson, Pearson, Ciena, Cargill, La Compagnie, Panduit, Kimberly-Clark, Zoetis
Lowes Foods, Cisco, Google, Palo Alto Networks, Dell

PROS Scientific Analytics is ranked 4th in Customer Data Analysis while Zylotech Customer Analytics Platform is ranked 8th in Customer Data Analysis. PROS Scientific Analytics is rated 0.0, while Zylotech Customer Analytics Platform is rated 0.0. On the other hand, PROS Scientific Analytics is most compared with Zilliant, whereas Zylotech Customer Analytics Platform is most compared with .

See our list of best Customer Data Analysis vendors.

We monitor all Customer Data Analysis reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.