Leverage AI Within Predictive Analytics to Grow Revenue in Markets
09/29/2020

StayinFront RDI announced the official release of StayinFront RDI Predictive Analytics, designed to strengthen the incremental sales impact of FMCG field teams.

Online PR News – 29-September-2020 – Fairfield and New Jersey – StayinFront RDI (StayinFront Retail Data Insight), a global provider of mobile, cloud-based field force, analytics and digital solutions for consumer goods organizations, announced today the official release of StayinFront RDI Predictive Analytics, a solution designed to strengthen the incremental sales impact of FMCG field teams across global markets through actionable insights where EPoS data is limited or isn’t available.

In modern trade markets with easy access to Electronic Point of Sale (EPoS) or scan data, it is common practice for consumer goods organizations to allocate time , manpower and resources to the stores that are generating the greatest amount of sales. However, in channels such as the traditional trade and in many developed/emerging markets, this data is not readily available. StayinFront RDI Predictive Analytics uses a vast array of data sources to predict the likely sales value in any given outlet, even if EPoS data isn’t present. Intelligent algorithms and machine learning identify store characteristics and variables, building a store-level forecast that segments locations according to their estimated sales and helping field teams determine which ones to visit. It can also be used to recommend the next best SKU to range in-store based on the unique catchment area attributes the machine learning identifies.

“We are excited to announce the launch of StayinFront RDI Predictive Analytics, a new technology platform that harnesses the latest thinking on Artificial Intelligence to deliver brand owners hard commercial benefits,” explained Andy Foweather, Commercial Director at StayinFront RDI. “While case studies in production environments of users of StayinFront RDI support revenue increases of 3% or greater, Predictive Analytics is designed to provide a significant revenue lift in markets where EPoS data is limited or not available. Predictive Analytics can help consumer goods organizations identify not only the stores that drive the greatest value, but also the ones with the most potential as well. We are dedicated to supporting sales reps in their quest to Do More, Know More and Sell More in the field.”

Acquired by StayinFront in 2017, StayinFront RDI’s software is tightly integrated within StayinFront’s market-leading TouchCG solution, an award-winning software recognized by industry experts and analysts, and most recently as one of the recipients of the Software Report’s "Top 25 CRM Software of 2020" award. Along with StayinFront RDI, TouchCG contains a full suite of retail execution capabilities, with integrated dashboards and KPIs that provide actionable insights for field teams and their managers.

About StayinFront, Inc.

StayinFront is a leading global provider of mobile, cloud-based field force effectiveness and customer relationship management solutions for consumer goods and life sciences organizations. Companies of all sizes, in over 50 countries use StayinFront software to streamline sales operations and reduce the complexity, time and expense associated with field efforts. StayinFront products are seamlessly integrated to provide companies with timely, accurate field data and actionable insights, enabling field reps and management to Do More, Know More and Sell More. Headquartered in Fairfield, New Jersey, StayinFront has offices in Chicago, Canada, the United Kingdom, Turkey, Ireland, Poland, India, Australia, Singapore, and New Zealand. Through its StayinFront Retail Data Insight and StayinFront Digital subsidiaries, StayinFront delivers stand alone and tightly integrated actionable insights and guided selling by analyzing retail images and data to brand managers and sales forces around the globe. For more details about StayinFront products and solutions, visit http://www.stayinfront.com.