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Swift

Overview
Synopsis

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 employees), 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™ ( Beta)
Editor Rating
Aggregated User Rating
Rate Here
Ease of use
7.6
Features & Functionality
7.6
Advanced Features
7.6
Integration
7.6
Performance
7.6
Training
Customer Support
7.6
Implementation
Renew & Recommend
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
Aggregated User 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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Ease of use
Features & Functionality
Advanced Features
Integration
Performance
Training
Customer Support
Implementation
Renew & Recommend

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