When brick and mortar stores harness the above advantages they do well even in the current difficult retail climate. That’s why companies like Best Buy, Walmart, and Target have been able to not just hold their own but thrive in spite of ecommerce eating up more of the retail landscape. Such stores provide a slew of conveniences and advantages that ecommerce can only dream of.
$300 billion worth of tariff anxiety is flooding into D.C. from June 17-25. Several hundred industry executives are in the nation’s capital to testify and plead against President Trump’s proposal to expand tariffs to an additional $300 billion of Chinese imports.
Consumers are embracing the expanding role technology plays in the buying process – and they expect tech to be part of solutions for their biggest issues with that process, as well. Real-time, accurate data will be the foundation of modernizing these areas of concern.
Top retailers are competing to understand what drives their clients’ behavior from awareness to purchase. The proliferation of big data and high volume of omnichannel purchasing makes the type of technology described above achievable.
In short, omnichannel is becoming more critical now than ever.
If you’re like a lot of our retail partners you hate being unable to fulfill an order due to limited cross-channel inventory visibility. You also find it frustrating that different channels can’t access the same assortments, leading to higher opportunity and shipping costs. And though you wish there was a way to offer faster shipping, your legacy solutions are unable to efficiently route orders to inventory locations closer to customers.
A lot of retailers focus their energies on either store-based fulfillment or drop ship for increasing online inventory assortment. At first glance this makes sense. Companies only have so much money to invest in their supply chain and they need to choose fulfillment strategies that work best for their business goals.
Around the world, companies hold onto stock they know nothing about, or worse, promise products to customers they don’t have. Typically, retailers and brands operate on data that is only 65% accurate, wasting $1.5 trillion of revenue opportunities.