We’ve gotten used to emphasizing the divide between digital and physical, but it’s quickly disappearing: when digital data about the physical world is comprehensive, real-time and freely available, the physical and digital augment each other.
When testing innovations, it’s risky to ask consumers to compare a new concept against an actual product that they currently purchase. This unbalances the entire evaluation by setting up an unfair comparison.
FMCG success today is now dependent on quality product images, solid SEO and prominent placement on e-tailer websites—far more so than simply having an abundant quantity or variety on the shelf at the local store.
What impact will the digital transformation have on the FMCG industry? What will it mean for the consumer, retailer and manufacturer? And what can we learn from digital disruption in other industries?
Unbeknownst to most consumers, tremendous thought goes into developing even the most commonplace products. As a result, product development in the FMCG industry is anything but fast-moving. But what if algorithms could help streamline the process and the outcomes?
The variety and increasing scale of data, as well as the scope of activity it is meant to inform, demands a solution that goes well beyond a simple enterprise data warehouse. So what might that more robust solution look like?
How many things can you say for certain that you're paying attention to, or even seeing, at any given moment? Our brains just aren’t good at recalling the kinds of details marketers need to evaluate their efforts in a complex world. That’s where the right neuroscience tools can help.
Companies striving for “leaner, bigger, better” innovations require realistic marketing inputs and an accurate forecast to identify their most promising initiatives. Proving that “consumers love it” without a realistic volumetric assessment simply isn’t enough.
Unconstrained by physical walls, e-commerce retailers offer a huge inventory of products in endless aisles. Unfortunately, our physical world product coding processes can’t scale to e-commerce: they’re too costly and too slow.
Without data integration, the only thing cool technology can do is stare helplessly at a pile of bricks it can’t assemble into anything useful.