Optimize Omnichannel Fulfillment for the Holiday Season

We’re just a quick block and jingle bell ring away from the holiday season — a high stakes, strategically coordinated shopping season retailers strive to perfect each and every year. 

At this point, inventory assortment plans and buys have been squared away.

However, once the frantic shopping frenzy ensues, the scale of orders coming through (from any and all channels) becomes increasingly difficult to manage. When an e-commerce purchase is made, retailers are bending over backwards to meet customer expectations even at the expense of a more profitable sale.

“[O]nline sales are growing at a respectable rate for many omnichannel retailers in large part because they continue to bear nearly all the associated costs of attracting and accommodating online shoppers, while their store-based sales often languish.” - WWD

Read More

Topics: holidays, ecommerce, holiday shopping, fulfillment optimization, cross-channel demand, advanced analytics, customer preference, order fulfillment, demand prediction

3 Reasons to Infuse Advanced Analytics into Your Allocation Process

What if you could travel back in time?

Back to the exact moment you determined which inventory needed to be allocated to each store for the 2017 holiday season.

The only difference this time around is you’d know exactly what sold at each location because your ‘future self’ would know every single purchase made. Then, you'd be able to make the best use of inventory by knowing exactly where each product was going to sell — prior to the hectic holiday season plagued by unpredictable spikes in demand.

Why, wouldn’t that be nice?

Unfortunately, the ability to travel back in time just isn’t an option. We’re stuck making do with historical sales performance, trends, or manual-based analyses to distribute inventory across stores.

To put it plainly: we’re placing huge bets on our inventory.

Since time travel isn’t a thing (*sigh*), retailers must infuse advanced analytics into their allocation processes to improve inventory bets across each store location. Here are three reasons why:

Read More

Topics: retail news, brick-and-mortar retail

A Look at Retail's 2018 Q2 Earnings

It’s halfway through the year, so it’s only natural to take a step back to get a pulse on the retail industry as whole. As the back-to-school season winds down and retailers start to prep for the holiday season during the second half of the year, it’s time to reassess where some of the major players stand.

Read More

Topics: retail news, brick-and-mortar retail

Top Retail Industry Experts to Follow on Social Media

With the constant stream of blogs and articles pouring into the chaotic whirlpool of retail news each day, prioritizing what to consume on the reg. can get pretty overwhelming. For that reason, we pulled together a list of top retail industry influencers to follow across social media (Twitter, LinkedIn, Facebook, etc.), whose fresh perspectives have proven useful and insightful time and time again. 

Listed in alphabetical order, check out this list of notable retail industry experts on social media for unique and quality content on the happenings behind the long, unpredictable retail journey ahead of us:

Read More

Topics: ecommerce, retail news, brick-and-mortar retail, consumer insights, consumer trends, technology adoption

Why the Biggest Problem with AI is Human

Every brand in retail is talking about AI. We’ve read the reports, the articles, and the survey results about all the different pain points AI can solve for retailers. From all the chatter around groundbreaking innovations and the changing retail industry, brands understand this need for technology in order to adapt. 

And there isn’t a shortage of technology solutions out there either—retailers have a ton of options. 

Understanding this need, the need for tech, then why is it so difficult to actually adopt? Why are retailers still struggling to keep margins afloat and adapt to the digital consumer? 

What’s the biggest problem with AI in retail?

Read More

Topics: artificial intelligence, inventory optimization, machine learning, data, advanced analytics, digital transformation

Ready for more?

Request a Demo