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SwiftIQ uses high scale data processing and machine learning to deliver contextually relevant insights and digital experiences for retailers and brands. Its platform unifies and analyzes data primarily from in-store transactions as well as online behavior and third party sources to predict and inform category captains, shopper marketing, assortment, supply chain and content delivery decisions.
Category
Predictive Analytics API
Features
•Speed to Insights •Deeper Granularity •Interactive Visualizations •Machine Learning •Mobility •Collaborate with Suppliers •Scaled Insights •Unparalleled Data Agility
License
Proprietary Software
Price
Contact for Pricing
Pricing
Subscription
Free Trial
Available
Users Size
Small (<50 employees), Medium (50 to 1000 Enterprise (>1001 employees)
Company
Swift
What is best?
•Speed to Insights •Deeper Granularity •Interactive Visualizations •Machine Learning •Mobility •Collaborate with Suppliers •Scaled Insights
What are the benefits?
• Speed to insights • Deeper granularity • Interactive visualizations • Machine learning • Mobility • Collaborate with suppliers • Scaled insights • Unparalleled data agility
PAT Rating™
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
7.2
Features & Functionality
7.6
7.9
Advanced Features
7.6
8.5
Integration
7.6
8.4
Performance
7.6
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Training
—
Customer Support
7.6
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Implementation
—
Renew & Recommend
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Bottom Line
SwiftIQ’s unique ability to process billions of basket-level transaction records in near real-time and convert that into on-demand mobile visualizations, dayparts, affinities and attribution fosters a new level of retailer/supplier collaboration and innovation.
7.6
Editor Rating
8.0
Aggregated User Rating
1 rating
You have rated this
SwiftIQ uses high scale data processing and machine learning to deliver contextually relevant insights and digital experiences for retailers and brands. Its platform unifies and analyzes data primarily from in-store transactions as well as online behavior and third party sources to predict and inform category captains, shopper marketing, assortment, supply chain and content delivery decisions.
SwiftIQ’s unique ability to process billions of basket-level transaction records in near real-time and convert that into on-demand mobile visualizations, dayparts, affinities and attribution fosters a new level of retailer/supplier collaboration and innovation.
SwiftIQ makes Swift Access, which helps unify data sources and make them accessible on demand, and Swift Predictions, which uses machine learning and predictive algorithms to generate insights into data. SwiftIQ's products, which are aimed at the retail industry, allow users to make customized sales recommendations based on an individual's offline and online shopping preferences.
The five-person company uses the Google App Engine for development, as well as the Google Compute Engine, Google Cloud Storage, Google BigQuery and Google Cloud Datastore.SwiftIQ uses high scale data processing and machine learning to deliver contextually relevant insights and digital experiences for retailers and brands.
Its platform unifies and analyzes data primarily from in-store transactions as well as online behavior and third party sources to predict and inform category captains, shopper marketing, assortment, supply chain and content delivery decisions.
SwiftIQ’s unique ability to process billions of basket-level transaction records in near real-time and convert that into on-demand mobile visualizations, dayparts, affinities and attribution fosters a new level of retailer/supplier collaboration and innovation.
Since launching its category captain and consumer behavioral analytics platforms in late 2014, SwiftIQ now analyzes over $40 billion in offline, receipt-level point of sale data. The company serves 5 of the global leading category suppliers and several billion-dollar retailers. SwiftIQ, named a Top Innovator twice by DataWeek, has also been recognized by Forrester, Forbes, NACS, ProgressiveGrocer and ComputerWorld for its achievements.
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