in-store displays and promotions have never been more crucial to achieving profitable growth. Yet, even though the consumer goods (cg) industry spends $200 billion each year to promote products in stores, poor retail execution often fails to grab consumers’ attention. With 38% of in-store marketing plans carried out incorrectly, 36% of cg decision-makers see in-store merchandising as a key opportunity. We think future advances in ai will offer effective solutions to the retail execution issues that keep cg leaders up at night.
What’s next for consumer goods?
We surveyed 1,500 global decision-makers on the trends shaping the consumer goods industry.
Get the report
why use predictive and generative ai for retail execution?
You may already use predictive ai to forecast supply and demand. Predictive america phone number list ai is programmed to carry out
specific tasks, analyzing information to. Classify data or predict outcomes. Generative ai. On the other hand, has exploratory capabilities. Which lets it look at your data – including the forecasts. From your predictive ai – to create new content based on that data. This new content could include product photos. Planograms, bills of material, promotional copy, and much more.
For example, predictive ai may. Tell you how many widgets field reps should order for. Their stores this year, but in the future, generative ai could also. Recommend the best brands and models. Of widgets to order, specify how many are needed for each store. And then design the endcap displays to house them in-store.
By using predictive and generative ai with your own trusted historical what are the most important and real-time data, you’ll be able to more effectively get products on shelves and in carts to boost sales. And, field reps will thank you for making their jobs easier.
you might not see
all of this retail execution functionality available today — we’re thinking big here! But ai innovation moves at light speed, and here’s where we believe the industry is heading.
1. Keep tabs on your inventory to keep shelves stocked
for cg leaders, keeping products on shelves is a persistent challenge: according to our research, 52% of leaders want better visibility into their inventory. Ai-powered retail execution solutions could help.
Maintaining a smooth flow of goods from the warehouse to the store sounds simple. But sometimes, products aren’t delivered where and when they’re most needed. That’s where predictive ai could help. By email leads database analyzing historical data, market trends, and other variables like seasonal merchandise demand and promotions, it could calculate more accurate demand forecasts – by store or by region. With a better understanding of demand, you could optimize inventory levels and set the stage for more sales.