Retailers need answers to the question 'What is likely to happen next?' if they are to manage smart, customer-...
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.
What does a fashion retail marketer’s day look like? This infographic depicts how today’s marketing manager uses advanced analytics to drive business insights.
This infographic details the numerous ways retailers stand to benefit from incorporating IoT into their stores.
For wearables to reach the next level requires companies to build additional analysis features that increase engagement levels, and provide an unparalleled benefit to the consumer.
Ushered in on a wave of retail-specific apps, disruptive technologies are changing the way that shoppers interact with their preferred stores. Learn more about how top brands use these technologies to engage consumers to gain a competitive edge.
Wearables are the next big thing that will change how we live and work. This infographic gives us a view of how wearables is already impacting the retail industry.
Check out this infographic covering our RIS Software LeaderBoard results to explore Manthan’s performance across categories.
This week, Manthan interviewed retail infleuncerNicole Leinbach-Reyhleto gain some insight on what small retailers need to do take on their big box competitors.
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.
The current era of business users demand the democratization of data and easy access to analytics. View trends on how business users are driving the consumerization of analytics.
Successful retailers can accurately predict outcomes prior to the season and utilize effective in-season tactics to address the unexpected. How do they accomplish this? Is it insight or analytics?
Retail analytics is shedding the complex IT attire and becoming more business user friendly.
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.
Understand your customer deep down and provide a personalized shopping experience with the right assortment, right pricing and right promotions
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.
Learn how Retailers and supplier when collaborate to work towards a common goal can optimize and enhance the value out of the supply chain
Analytics can make an incredible difference in the way Fashion Retail works, right from choosing the best pricing and markdown strategies to predicting the next season trends.
While every kind of Retailer has adopted/is adopting analytics in a huge way, Convenience stores still face a number of hurdles in adopting an analytics regime
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
What transaction and customer information should you track as part of your multi-channel retail strategy? How can you use this information in your strategic decisions?
An efficient workforce can make all the difference to a retail store’s success. How can retail managers keep employees motivated and their morale high?
The year 2011 saw the release of “Moneyball”, starring Hollywood actor Brad Pitt. The film depicted the Oakland A’s coach Billy Beane and general manager Paul DePodesta’s successful attempt to put together a baseball club
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.
The official ‘Olympic Flame’ at the just concluded 2012 Olympic Games at London journeyed across every region of the UK, over a 70 day period, with celebrations planned in 66 towns and cities across the country as the relay passed through them. And that’s only the beginning….. An estimated 8.8 million tickets sold 37 competition […]
Retailers need answers to the question ‘What is likely to happen next?’ if they are to manage smart, customer-centric merchandising decisions.
An irate customer gets to know days before Christmas that orders she had booked online with a well-known retailer will not reach her in time.
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.
IBM’s Watson is one in a series of path-breaking innovations that are set to trigger a new wave of evolution in BI and analytics where the lines blur between BI and AI.
Advanced retail Business Intelligence (BI) solutions leverage RFM models effectively to help retailers with their direct marketing efforts and better target their promotions and loyalty programs.
Retailers have to learn the tightrope walk of product rationalization to effectively manage smarter assortments that ensure they have no excess stocks and avoid the risk of stock outs.
Retail BI applies the principles of product affinity and Market Basket Analysis to business data to reveal the hidden connections between products and discover patterns in customer behaviour.
A top-down approach to decision-making is not always feasible and retail staff at all levels must have access to automated systems that provide them timely, relevant and ready-to-use information.
Retailers have to factor in varying stages of organizational complexity and consider key growth drivers around which to focus their analytics capabilities so as to maximise ROI.