guide
Is your retail data strategy a competitive edge or a missed opportunity? In a hyper-competitive retail landscape, having a robust retail data strategy is non-negotiable. However, building one requires careful joint business planning and the integration of key components
guide
Poor retail data quality costs consumer brands millions of dollars each year. It can also negatively affect sales, marketing, supply chain management, IT, and finance. Discover the seven signs that indicate your POS and inventory data may be of low quality—and how to minimize its impact on your bottom line.
Research
How are your analytics initiatives stacking up? Download this year’s findings from Consumer Goods Technology and see where industry leaders see the most opportunities and obstacles and discover trends and investments shaping the future of decision-making, AI, and customer engagement.
INFOGRAPHIC
Prioritizing retail data sharing allows CPGs and retailers to identify valuable insights and jointly develop comprehensive and effective strategies to optimize demand forecasting, sales, supply chain, and marketing for smarter, faster growth.
SOLUTION BRIEF
Learn how VELOCITY® Essential can help emerging companies and brands gain the insights needed to identify growth opportunities, mitigate inventory risks, expand distribution, increase sales and market share, and grow profitably.
INFOGRAPHIC
Data has become the lifeblood of CPGs, driving decision-making, innovation, and competitiveness. However, managing it comes with common challenges for brands of all sizes. Learn how to overcome them and unlock your data’s full value.
Assessment
Do you know how well your company manages on-shelf availability? Are your products consistently available where and when shoppers want to buy them? Take this OSA self-assessment to gauge your company’s performance.
INFOGRAPHIC
Clean, organized data enables more reliable business intelligence, increased productivity, and lower overall costs of preparing, managing, and analyzing data, allowing brands to spend less time dealing with data and more time growing their business.
DATA SHEET
30 years ago, VELOCITY® set the standard for Demand Signal Repositories. Learn more about its architecture, data input/output methods, modeling, metrics, and data cleansing and harmonization processes.
USE CASE
Unlock the full value of your retail data to successfully introduce new products, optimize trade spending and promotions, improve retail execution, and build your brand with Velocity®.
WHITE PAPER
Many CPGs struggle to collect, consolidate, and make sense of disparate retail data. Learn how you can gain and leverage a single version of the most accurate and reliable data for actionable insights.
Assessment
Can you trust your POS data when making critical business decisions? Unless you can answer “yes” to these few simple questions, your brand, sales, and profitability may be at risk.
GUIDE
Manually gathering retail sales data and relying on spreadsheets for decision-making wastes valuable time, money, and resources. Here are five essentials that retail data analytics software should provide sales and marketing to increase sales, optimize promotions, and maximize ROI.
GUIDE
Sales forecasting, demand planning, production, and trade promotions are often based on shipments. What if you could better manage and grow your business based on what’s actually being sold daily in-store and online?
GUIDE
Consumer demand is fickle, and you need to ensure your product is available and accessible when demand or market conditions shift. Daily item- and store-level retail data and analytics can give you a competitive advantage.
SOLUTION BRIEF
To win at the shelf requires a sound retail execution strategy and meticulous implementation. But without consistent monitoring and measuring of your efforts based on the most reliable data, suppliers will find it quite difficult to succeed.
WHITE PAPER
Out-of-stocks have been a persistent, expensive problem for over a thousand years. Learn how advanced technology and more timely, accurate supply and demand data can better identify their root causes and predict and prevent them to reclaim revenue.