Focusing on store-level data enables CG companies to win in modern retail. Here, a member of Procter & Gambles Retailer Connect Program candidly reveals how the company is using POS data to identify out-of-stock/zero sales incidents and then act in store to fix those opportunities and drive sales.
Consumers are flocking to social media to have conversations about products and brands; conversations that more often than not aren't considered part of traditional TPM activities. Increasingly, the secret to running successful trade promotions will lie in integrating the rich data available across traditional TPM systems with the real-time social data streams that provide CG companies with direct insight into consumer mindsets.
The retail solution is expected to tie consumer, transactional and promotional data together, providing Patagonia with a complete 360-degree view of the customer.
Jennifer Beckett, vice president of Sales & Marketing at Vendor Managed Technologies, Inc. (VMT), reveals how data sharing has drastically changed the collaborative analytics environment for retailers and suppliers.
Intelligent innovation is going to be key to the CG industry's performance in the coming year. New research from CGT and IDC Manufacturing Insights examines the progress companies are making in TPM, downstream data, direct-to-consumer selling, social business and mobility.
Recently, a CPG social forum asked the question Is Big Data the most dominant theme this year in our industry?If you look at the amount of coverage Big Data is getting, it well may be. However, when browsing through the literature on the topic, I realized that people may be forgetting about the most obvious Big Data opportunity.
The venture of 1SYNC and SA2 Worldsync together provide product data synchronization services and solutions to more than 15,000 businesses, directly or indirectly, in more than 40 countries.
Manufacturers accumulate lots of data from their supply chains. Were not suggesting that they need to use all this data right away; but many are using very little of it to improve their forecasts. By taking some small first steps with their data, manufacturers can make some giant leaps in their forecasting.
