In his recent talk at Cypher-2017, Atul Jalan cuts through what he calls the “hullabaloo, hyperbole and hubr...
The year 2019 would be all about algorithmic retailing as it encompasses the combined power of advanced analytics and artificial intelligence to transform retailing as we know it. Retailers have been already using various advanced analytics technologies till now, but with usable AI coming into the picture along with machine learning algorithms, smart data discovery, […]
We are already seeing Intelligent Personal Assistants deployed at scale in the consumer world with Amazon Alexa, Google Assistant, Apple Siri and the same trend is going to play out in enterprise now
As the convenience stores segment goes through yet another year of evolution, catering to the new ‘I need everything personalized’ customer is clearly standing out as the biggest differentiator from the competition.
Increasing competition, rising costs, wage inflation etc. have led to disappointing same store sales and declining traffic counts for the restaurant industry in the last few years and this trend is going to continue for the next few years.
For the un-initiated, visit frequency of a guest is the number of times a guest visits a restaurant in the period. It is an important driver of sales, if not the most. So the big question.
In his recent talk at Cypher-2017, Atul Jalan cuts through what he calls the “hullabaloo, hyperbole and hubris” that surrounds Artificial Intelligence(AI) to give us a new perspective on what awaits us in the near future.
The technology that brought all the data is also acting as the biggest roadblock in achieving analytical excellence. This is where an insight platform comes in.
Predictive analytics and Prescriptive analytics will attract 40% of enterprise investments. Find out why with this infographic.
From cost-conscious consumers to slow innovation, this article takes a look at what’s impacting the fashion industry.
Easy access to vast data in combination with AaaS tools is pushing innovation by business users who now have the power of data scientists at their fingertips.
Ajith Nayar outlines the most effective prespecriptive analytics techniques that help in deriving best business decisions
Check out this infographic covering our RIS Software LeaderBoard results to explore Manthan’s performance across categories.
Tesla loves analytics! This infographic explores the ways analytics is being used by Tesla to compete in the automobile industry.
BI offers endless possibilities today and prescriptive analytics is the latest development in this field.
How did analytics evolve into the burgeoning industry is it today? Take a look at this timeline infographic that pieces together the evolution of the analytics industry.
Analytics have grown to become one of the most powerful tools available to retailers, and with cloud analytics available to even the smallest retail shops, its adoption curve is beginning to look like the classic hockey stick.
Siri-ization strategy brings together various technologies to bear on improving the analytics user’s experience in questioning and finding answers to business decision making scenarios.
Video intelligence platforms can improve the quality of operational decisions, bring merchandising and marketing initiatives to fruition, promote cross departmental collaboration, and enable personalized shopping experiences.
This blog explores the ways in which digitalization can impact retail performance to deliver on the 4Cs of the shopper experience.
2014 saw a dramatic shift to cloud based Business Intelligence and Analytics. CIOs have discovered that the flexibility, scalability, quick adoption timelines and the ability to handle huge volume of data in the cloud has made it a remarkably better option than on-premises offerings.
By “Consumerization” of technology, the power of the consumer has been augmented and accelerated. Consumers now demand more – more convenience, more consistency, more collaboration, more customization.
The first step towards becoming a demand-driven manufacturer is to build an effective demand signal management system.
DSM collects, integrates, cleanses, synchronizes, analyses, and disseminates customer related data which can enabling demand-driven decision-making.
Capitalizing the “Moments That Matter” in the customer lifecycle is key to delivering relevant promotions that deliver desired business outcomes.
Analyzing customer data provides insights on some unique buying behavior and also indicate the different journeys that various customer groups traverse.
Omnichannel fulfillment lets shoppers choose the way they shop and procure the products the way they want.
Convenience stores have always been laggards when it came to technology adoption, but now many are utilizing advanced techniques to entice shoppers.
When 50% of c-store sales are based on impulse, what can retailers do to make customers pick more items on impulse and increase profits?
There are many challenges that retailers face when deciding to implement omnichannel strategies. Here are the top three hurdles to omnichannel success.
Though segmentation had its own benefits, personalization is the new trend taking the retail world by storm.
Predictive analytics can enable convenience store owners to optimize fuel prices, understand shopping patterns, and generate better results.
2014 buyer is more connected, empowered and demanding than ever. Advanced Retail analytics can help the Retailer understand and influence this buyer at the right time.
Anticipating your customer needs at the right time and providing them with the best in class service is what separates a great retailer from a good one.
What’s the common factor between Sprouts Farmers Market, lululemon and Michael Kors? They’re all currently the toast of the retail world because of their remarkable growth stories
A retail analytics partner doesn’t just help with process optimization. They also need to help retailers grow, spot new opportunities and guide retailers through the highs and lows of the retail environment.
Customer data is an information goldmine for retailers if analyzed correctly and in a way that aligns with business and marketing objectives.
There’s no denying the opportunities analytics has opened up for retailers over the past few years. See how you can improve collaborative supply chain with predictive analytics.
Price optimization is a crucial part of the retail game – it has to be as accurate as possible to succeed. Here are a few factors that affect your price decisions and its impact on the customer.
Advanced intelligence systems now complete the Analytics Process Lifecycle by closing the loop from information all the way to actions that result in best business outcomes.
A new range of analytic applications are offering retailers an action-focused approach to efficient, outcome-driven decisions and the actual execution of these decisions.