Welcome to Intelligence Node's Blog. Regardless of where you are on your retail analytics and machine learning journey, our blog covers a vast range of topics to maximize your retail growth and ensure your success.
What’s the best way to position your products to effectively entice consumers on your eCommerce store and maximize your returns? That’s a question that every company, on one level or another, comes face to face with. How you answer it, though, makes a world of difference: Do you rely on intuition, on long-held practices supported […]
With the onset of the pandemic and the subsequent 360-degree shift in consumer buying behavior and priorities, there have been some immediately tangible effects on the food and grocery market which has been highest in importance, testing all their existing retail management systems and abilities to keep up with demand. Factors such as quality, price, […]
Counterfeit products, representing nearly 3.5% of world trade today, are flooding the market and COVID-19 has exacerbated this problem for brands, manufacturers, and consumers. Counterfeit products accelerate price erosion and damage brand image, making it difficult to secure good margins and risking further deterioration of consumer trust. With the alarming growth of this counterfeit threat, […]
2020 has brought with it a host of unforeseen changes in the day-to-day life of a typical American shopper and a massive shift in behavior, priorities, and sentiments concerning his/her consumption patterns. So far this has meant that long-established, strong, and seemingly evergreen knowledge of consumer behavior trends has been turned on its head to […]
The year 2020 has been a rollercoaster ride for retailers, with the COVID-19 pandemic disrupting global businesses and pushing economies into recession, tit-for-tat tariffs, growing counterfeit market and the accelerated adoption of e-commerce shopping. The onset of the pandemic resulted in the enforcement of home quarantines and lockdowns across countries, coaxing people to order online, […]
This article was first published on Forbes on Apr 23, 2020, and is authored by Intelligence Node CEO Sanjeev Sularia in his capacity as a member of the Forbes Tech Council. Recent retail news depicts a tale of two distinct fates: stores that are prospering, and those that are barely hanging on. 2019 was a tumultuous year […]
The retail world is currently facing rapid evolution. Market trends are fluctuating at an unprecedented pace, prices are as competitive as they’ve ever been, and customers are holding companies to ever-higher standards. The only way to keep up is with a pricing analytics software that enables you to strategize in a manner that optimizes for […]
Winning Consumers with Dynamic Pricing for DTC Brands In the last decade, with the growth of eCommerce, DTC or direct-to-consumer retail has gained momentum. Infact, today there are more than 400 DTC brands disrupting the retail model, offering a more personalized user experience, and winning customers and market share. It is only a matter of […]
The year 2020 has been one of the most unpredictable years for the retail sector with COVID-19 wreaking havoc across the globe. Even before the pandemic hit us, the retail sector was wading through choppy waters with U.S. President Trump imposing tariffs on international goods, potential recession looming over us, and Millennials and Gen Z […]
Anyone who’s been in the retail business knows how important capitalizing on the shopping wave during the back to school, or BTS season is. Depending upon which expert you ask, this potential boom in sales is the second or the third biggest during a calendar year. However, things are not quite the same this year […]
In the past decade, retail has evolved rapidly, opening numerous new opportunities for brands and retailers. Technology has further pushed the boundaries of retail and has given way to e-commerce adoption – further accelerated by COVID-19 in the past few months. With technology at their fingertips, today’s shoppers are informed and are constantly comparing prices […]
