Datasembly Overview and Competitive Landscape (2)

Part
01
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Part
01

Datasembly (2)

Datasembly offers access to grocery and retail pricing information for brands and retailers operating in the US and Canada. Additional information has been provided in rows 10-41, column C of the attached spreadsheet.

Selected Findings

  • Datasembly is free to use for a limited time. However, no further information was provided as regards when the service will become a paid service or how much it would cost.
  • Datasembly primarily offers access to grocery and retail pricing information. It does this by harvesting billions of grocery and retail pricing records from over 100 retailers and processing this data using natural language processing (NLP) and machine learning techniques to obtain actionable insights.
  • Datasembly's availability is currently limited to North America, specifically the US and Canada.

Part
02
of seven
Part
02

SwiftIQ (2)

All noted items for SwiftIQ were identified, and all details can be found on the spreadsheet Column D Rows 10 – 41.

Clients, Pricing, and Pilot Programs (Rows 11, 13, 15)

  • SwiftIQ’s client base is comprised of retailers, distributors, and other brands that use their “on-demand insights and decisioning platform” to support and improve their in-store, customer base, and supply chain data to increase customer satisfaction and maximize profits. Clients include big names like Anheiser-Busch, Coca-Cola, Hersheys, Dr. Pepper, P&G, and KraftHeinz, among others.
  • They offer a free demo by request for retailers and other brands, at which time they provide pricing breakdowns for various services. No other pricing data was available.
  • They offer pilot and testing programs to clients through their Business Analytics Division (called SwiftIQ Labs), in order to help the clients find the best metrics and segments to follow. Additionally, they have a new product (detailed later) called Promotion Measurement; although this is not a pilot, it is a new program they’ve recently developed. Within this product, they note that the ability to “calculate true incrementality with comparisons vs. statistical baseline” is going to be launched soon, so this is likely in the pilot stage.

Products (Rows 17 – 29)

  • SwiftIQ offers three products/services: Retail Execution Cloud, Business Intelligence Services, and their newest product, Promotion Measurement. The Retail Execution Cloud is an online platform that blends data sets, processes billions of retail/brand transactions within seconds, and provides data insights for brands to utilize in providing a sublime customer experience.
  • Their Business Intelligence Services are run through their SwiftIQ Labs, and allow customers to test, predict, measure, and optimize their services through data-driven insights and information. Their Promotion Measurement applications allows for easier tracking and analysis of product promotions and advertisements.
  • Users of products fall into (at least) the following categories: Retail brands, CPG brands, and other brands with retail locations and/or customer services, as well as distributors and supply chain brands.
  • The complexity of the products appears to be high to moderately-high, though no detailed exploration of the products was conducted.
  • SwiftIQ and Amazon do not appear to be connected or in any kind of partnerships. Notably, SwiftIQ notes that they were developed in part to compete with Amazon’s services (and do better than they have done), but describe their services as “Amazon-like.”
  • SwiftIQ’s services may replace other similar services (like Amazon’s), though it may provide new services for many clients who have not delved into data collection and analytics previous to becoming involved with this company. The services also replace data collection and analysis done by simpler (more human-contact) systems.
  • Use cases for the Promotion Measurement services are profiled in several case studies from the company. One was from a leading beverage company that launched a food bundle promotion; the software was used to track the successes and failures of that promotion. Another case study features the tracking of the launch of a new item in a “highly competitive market,” analyzing the good and bad aspects of the campaign. A third case study talks about how SwiftIQ helped a brand track and analyze the success of their new display.
  • The research team could not access any of the three products, though screenshots were available on the website and on other sites. A simple analysis of these shows that the system is likely fairly easy-to-use (for intermediate-level computer users) with a simple, clean design.
  • The usability level appears to be high.
  • This set of products is empowering to all clients who use them, as illustrated by the big-name brands that are on the client list. It empowers these brands to understand what they are doing right, identify what they can do better, and test new ideas until they find the perfect blend of success for their clients.
  • The company states that there is no POS integration" required as their product is easy-to-integrate/use. They also state that their retail products have “hands off integration” for “data sharing, vendor platforms, and training.” They have pioneered APIs to integrate their own programs into one another seamlessly, and to integrate into “third party systems seamlessly,” as well.
  • A search through the US Patent Office database showed no registered or pending patents related to SwiftIQ. A search of the Google patent database also returned zero results.
  • They serve the US and global markets, though most of their clients appear to be HQed in the US.

Engagement Mechanics (Rows 31, 32)

  • They offer real-time data, so the data changes constantly.
  • It is not clear whether these products offer alerts.

Data Sets, KPIs, Tech Stacks (Rows 34 – 36, 38, 40)

  • They offer highly-granular data sets and analytics “including transactions, shipment, shopper, margin, and space data.”
  • Their software provides “basket-level” and “receipt-level” data so clients can “understand dimensions of time, product basket, payment, item, location, shipment, and any other metadata.” Their retail execution cloud analytics platform has a 100% T-Log that provides “basket, time, shipment, space, SKUs, PLUs, and more tender.” It also allows for data sets on customer behaviors.
  • Their promotion measurement analytics software offers promotion impact data by “category, subcategory/segment, and promoted product group.” It also provides data on “basket-level behavioral changes,” the effects of quantities on the behavior of shoppers, and volume data.
  • Their advanced retail analytics software offers strong measurement capabilities including “measurement of item, category, full store lift, and other complicated key performance metrics in seconds.”
  • Crunchbase notes that their website uses “32 technologies,” and according to BuiltWith, SwiftIQ.com these include: Hubspot, Google Analytics, a variety of widgets (like Typekit and Google Font API), multiple content delivery networks, like StackPath Bootstrap CDN and Cloudflare, and javascript libraries and functions like jQuery and Slick JS. Crunchbase notes that the company’s tech stack includes “14 technology products and services including Google Analytics, Vimeo, and G Suite.”
Part
03
of seven
Part
03

SafeGraph (2)

The requested company analysis of SafeGraph has been completed in column E, rows 10 through 41 of the attached spreadsheet. SafeGraph's clients operate in various industries in the US and Canada, where SafeGraph's solutions find applications. They include Verizon Media, Esri, Mapbox, Choice Hotels, and others.

Summary of the Findings

  • SafeGraph's pricing plans are based on amounts per unit row and are generally pegged at $0.10 per row.
  • SafeGraph's products — Core Places, Patterns, and Geometry — involves a flat rate and specific data which are localized to specific variables and points-of-interests (POI).
  • The products involve datasets or POI for major retail chains, shopping malls, convenience stores, airports, and others in the US and Canada.
  • SafeGraph is in a partnership with Amazon Web Services (AWS) to launch the AWS Data Exchange. Through this, AWS hosts more than 20 datasets from SafeGraph.
  • With SafeGraph's data, it can be used to estimate foot traffic and predict financial indicators of companies such as the number of visitors, revenue, etc., by providing data-driven and actionable insights, as in the case of Neoway.

Research Strategy

We could largely leverage information from the company website and the product documentation to address this request. However, the company provides no information on the changes in processes and the engagement mechanics alerts. For these, we further searched through industry reports. Specifically, we checked if the product can alert customers or provide automated alerts during processes, including alerts in real-time but no resources provided any useful information to this regard. We also searched for the changes it has made in its processes including if it has optimized, replaced, modified or automated any stage of its processes but found no information. We scoured through media pages but found nothing useful either. For the changes in processes, the company only provides the current processes it carries out. So, we attempted to use the Wayback Machine to review what these processes were in the past but still could find no relevant information. The processes were still the same from the time it was first published. Hence, we concluded that SafeGraph is yet to make any changes to its processes. And also, we've entered N/A for the engagement mechanics alert.


Part
04
of seven
Part
04

Semantics3 (2)

Rows 10-41, columns F of the attached spreadsheet have been filled with the requested information on Semantics3.

Selected Findings and Research Strategy

  • Semantics3 product's uniqueness is high due to the fact that it offers one of the largest universal product catalogs, as well as a unique capability of prefilling custom catalogs based on the information available online.
  • The complexity is also high because there are multiple APIs with many capabilities. Since there is a lot of customization involved, potential customers have to make a lot of choices.
  • The usability is high based on videos available on Semantics3 YouTube channel.
  • Tests show that Semantics3 technology is able to predict pre-launch product demand with 95% accuracy. When there is some historical data, the accuracy increases to 99%.
Part
05
of seven
Part
05

Birst (2)

All noted items for Infor Birst were identified, and all details can be found on the spreadsheet Column G Rows 10 – 41.

Clients, Pricing, and Pilot Programs (Rows 11, 13, 15)

  • Infor’s Birst serves clients in a variety of industries: Aerospace & Defense, Automotive, Banking & Financial Services, Chemicals, Construction, Distribution, Energy, Equipment, Fashion, Food & Beverage, Healthcare, High Tech & Electronics, Hospitality, Industrial Machinery & Equipment, Industrial Manufacturing, Logistics & 3PL, Professional Services, Public Sector, and Retail.
  • Birst offers a free trial of their product, and from there, pricing details are provided and discussed. No public pricing information appears to be available.
  • No information could be found on any pilot programs currently in progress for Birst.

Products (Rows 17 – 29)

  • Infor’s Birst is a “next-generation enterprise business intelligence and analytics platform” that is cloud-based and “helps organizations understand and optimize complex processes in less time than traditional BI solutions.”
  • Birst falls into multiple categories as there is a large selection of industries utilizing the products (see Clients Row 11).
  • The product uniqueness is medium-high based on the fact that there are multiple other companies offering similar products.
  • The complexity of the product appears to be moderately-high to high.
  • Birst has partnered with Amazon Redshift. Brad Peters, Birst’s CEO says, "We love Amazon Redshift. When coupled with Birst, our customers get a 2- tier data architecture and a BI layer that delivers business results faster than ever before. This combination results in superior query performance and scalability on datasets ranging from hundreds of gigabytes to a petabyte and more."
  • Birst notes that customers that currently use Infor BI, Legacy BI platforms, and desktop data discovery tools should consider replacing those systems with Infor Birst.
  • The company has 10 case studies that detail various use cases, including supply chain optimization for SunnyD, the elimination of data silos in Miller’s auto manufacturing business, the use of real-time data insights for Valen Analytics’ underwriters, and the innovation of new user experiences for Vertafore, among others.
  • The research team could not access any of the three products, though screenshots were available on the website and on other sites. A simple analysis of these shows that the system is likely fairly easy-to-use (for intermediate-level computer users) with a simple, clean design.
  • The usability level appears to be high, though this cannot be confirmed.
  • The company is a global leader in software, and empowers their clients with a “unique approach [that] helps leading companies improve profitability, reduce costs, increase revenue, and transform the way they do business often in 90 days or less.” Strong changes toward increased revenue, improved efficiencies, and better customer experience empower their clients toward greater success.
  • Birst integrates with Amazon (as noted in Row 21). Additionally, Tray.io notes that Birst integrates with any app because they have a “unique Universal Connector.” Birst also integrates with Tableau to provide stronger data visualization and speed. The team also found articles noting the product integrates with SnapLogic, Panoply, RTogether, and Salesforce, among others. It appears to have open integration with many other software products and apps.
  • A search of the US Patent Office database shows that Birst has 15 patent registrations, including “automatic redisplay of a user interface” (with visualization), “techniques for semantic searching,” and an “in memory database warehouse,” among others.
  • Infor is headquartered in New York, and the website notes they serve a global audience.

Engagement Mechanics (Rows 31, 32)

Data Sets, KPIs, Tech Stacks (Rows 34 – 36, 38, 40)

  • No information is directly available on the data sets provided by Birst, though a set of downloaded tutorials are available from the company, and they are likely to have this information.
  • No specific KPIs are given, as they are likely to vary greatly by industry and customer. One example is from Citrix Systems, which uses Birst to achieve near-real-time visibility on data from its extended global network that is managed solely by one IT staffer. By using Birst, the company achieved 99% on-time delivery, increased their inventory turns by 5-times, and saw a 35% reduction in days needed in supply.
  • Stackshare notes that Birst uses 11 application and data stacks, five utilities stacks, four devops stacks, and two business tool stacks. Among the application and data stacks are jQuery, PHP, Nginx, and Bootstrap; among the utilities stacks are Google Analytics, and Optimizely. Among the devops stacks are Modernizr and New Relic, and the business tools stacks are Wordpress and Marketo.
Part
06
of seven
Part
06

Wiser (2)

Wiser Solutions offers retailer and brand solutions for monitoring their products, competitors and market. All information has been added to row H of the spreadsheet, as requested.

Selected Findings

  • Current clients of Wiser are Pepsi, Hershey's, Ring and Amazon.
  • Wiser offers integration with eBay, Amazon, Magento, Channel Advisor and more.
  • The company offers its products and service in a limited international market. It serves the US, Canada and Europe.
Part
07
of seven
Part
07

Retalon (2)


All information about Retalon has been provided in the project spreadsheet.
  • Retalon offers predictive analytics solutions for retail stores. The solutions are fully integratable with any ERP system and can be deployed on premises or in the cloud. The solutions offered are demand forecasting, planning, inventory management, and pricing and promotions.
  • Their focus is on retail businesses in the following verticals: fashion & apparel, jewelry, specialty gifts, wine and liquor, consumer electronics, sports, pharmacy, hardware, pets, home goods, department store, grocery, ecommerce and CPG. Current customers include Hard Rock International, The Paper Store, Shane Co. and Follett.
  • Product uniqueness was rated as moderate as retail predictive analytics is commonly used by major retailers and there are multiple leading companies offering the service. However, Retalon was the first to offer retail "end-to-end solutions for forecasting, planning, inventory optimization, price management, promotions and markdowns."
  • The complexity was rated as high since the company uses new technology (AI) and big data.
  • Usability was rated as moderate due to statements from customers like "with other companies offering forecast solutions, there was a lot of user knowledge needed....With Retalon, we felt like we could trust with 99.9 percent certainty the forecasts they came up with."

Research Strategy

The research team could not find any pricing information for Retalon publicly available, even after third party review sites were reviewed. This is most likely due to the fact that the solutions are personalized to each business.
Sources
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