SOURCE: Orchestro


January 28, 2016 10:07 ET

Orchestro Continues Sales Momentum, Launches Data Science Advisory Service

Company Experiences Double Digit SaaS Bookings Growth, Enables Advanced Analytical Services for Click-and-Mortar Retail & CPG Customers

BETHESDA, MD--(Marketwired - January 28, 2016) - Orchestro Inc., the market leader in demand analytics and data orchestration, today announced continued growth during 2015, driven by increased customer adoption of its enterprise-class SaaS platform -- Tango™. For demand-driven companies disrupted by omni-channel execution challenges, the company announced a new Data Science Advisory service.

Entering 2016, early adopter retail and consumer goods companies are making strategic decisions to standardize their demand analytics onto platforms that can seamlessly ingest several internal and external data sources into an enterprise demand signal repository, where Orchestro has been regarded as the gold standard in the industry. This shift in the marketplace led to a strong growth year for the company, resulting in several major CPG manufacturers adopting the platform across several retailer and .com channels. 

Furthermore, driven by increased demand from suppliers and retailers that lack internal analytical maturity, Orchestro has introduced its Data Science Advisory service to deliver custom analytics projects, such as forecasting, modular analysis and inventory optimization. The company is also expanding its advanced reporting capabilities, ensuring rapid delivery of purpose-built insights for customers through the company's Tango™ SaaS analytics platform.

Recent highlights for the company have included:

  • Market Penetration: In 2015, Orchestro saw double-digit growth in SaaS bookings compared to 2014. This includes a deal with a leading supplier in the breakfast food space to provide Orchestro's Tango™ platform across 20+ retailer distribution channels, including online stores.
  • New Data Advisory Service: With the growing need for CPGs to identify hidden insights to make profitable decisions using harmonized data, Orchestro has launched a new Data Science Advisory service to apply advanced analytics across a retail supplier's internal, external, and 3rd party data sources. The service will leverage Orchestro's data science team to unlock "next best actions" for customers utilizing the Orchestro Tango™ platform. 
  • Consumer Goods Technology (CGT) Readers' Choice Award for Demand Data Analytics: For the tenth consecutive year, Orchestro has won the award for bringing innovation to the demand analytics market. Our continued focus on delivering preëmptive analytics and in-store execution has resulted in customers recapturing millions of dollars per year.
  • Collaboration with Microsoft Enterprise Cloud Alliance: Orchestro has successfully deployed its Tango™ Science applications on the Microsoft Azure platform, enabling critical on-shelf availability issues to be identified and resolved with greater speed and efficiency. 
  • Expanded Minneapolis Presence: To support a growing customer base of suppliers in the Target community, Orchestro has expanded its presence in the Minneapolis area. This comes on the heels of Orchestro becoming a Target Business Partner to help suppliers identify sales and inventory insights through data shared from MerchIQ.

"Our customers are figuring out how to drive profitable actions based on what their harmonized data is telling them. Our growth illustrates the benefits suppliers get by standardizing on an enterprise-grade demand analytics and data orchestration platform," said PV Boccasam, CEO of Orchestro. "In addition, our Data Science Advisory service will drive further value for our customers by showing them hidden growth opportunities in their highly competitive markets."

About Orchestro

Over 210 global brands in concert with their omni-channel retail partners rely daily on Orchestro's platform -- the industry's first and only data orchestration system. This purpose-built demand signal repository enables us to pinpoint and prioritize all service-level exceptions using an ensemble algorithm selector, a component of our patent-pending demand analytics engine -- Maestro™. By preëmptively analyzing and taking store-level actions that maximize profitability, our clients dramatically reduce lost sales opportunity, improve revenue and gross margins, and deliver superior service levels. For more information, please visit

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