In-store personalization in retail is the ability to identify customers, understand their current context and respond back with highly relevant and personalized recommendations.
The future will definitely bring uncomfortable questions about (manipulative) math and elections. Read Manthan CEO Atul’s take on Big data and elections.
This Article is first appeared in Economic Times Why data is the secret sauce behind that perfect match I just finished a collection of 200 Italian folk tales by Italo Calvino and (almost) all of them ended with `and they lived happily ever after’. While that’s a nice sentiment to end a story , fact nails […]
Predictive analytics and Prescriptive analytics will attract 40% of enterprise investments. Find out why with this infographic.
Analytics can be used to improve living efficiency and provide better urban governance in smart cities. Find out how, using this great info-graphic.
This post takes a closer look at several emerging retail technologies, that are promoting better shopper habits, and changing the way the retailers work.
There’s a lot that goes into inventory planning, which is why retailers rely heavily on things like big data and retail merchandising software to get things done.
From research to surveillance to photography, drones are flying off shelves as more businesses explore commercial applications of this aerial technology.
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.
Smart mirrors have made their debut into fitting rooms across stores making the dressing room less of a trial. Let’s take a look at which retailers are leading the fray.
From cost-conscious consumers to slow innovation, this article takes a look at what’s impacting the fashion industry.
Understanding the different flavours of AI can help you better take advantage of artificial intelligence currently in use, and prepare for developments of the future.
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.
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.
Atul Jalan, practitioner and innovator in the field of analytics, data science, and synthesized intelligence, reminisces in his days of worship and profound inspiration in Alan Turing, in his ode to a man ahead of his times.
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.
With as many as 75 million connected devices going online by the year 2020 the symbiotic relationship between IoT and analytics is geared to become more pronounced in the future.
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.
Atul Jalan explores the evolution of data science beyond consumer behaviour to model a larger and seemingly more complicated and contextual human behavior in this article – on-demand happiness pill – fiction or data science?
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.
Customer segmentation starts with the right data. Read this post to learn about the seven categories to deliver best-in-class customer segments to drive your marketing tactics.
If retailers use real-time analytics to analyze unstructured data, they will optimize their business operations, race ahead of competition, and transform the relationship with consumers forever.
Every marketer knows about the 4 P’s of marketing. Manthan’s Hillary Ashton provides a new marketing framework that every professional needs to adopt in order to delight the 2020 customer.
Retail analytics is shedding the complex IT attire and becoming more business user friendly.
The big use case of IoT in customer marketing is the use of Beacons. Beacons can be leveraged to engage customers in real time when they are in the store and willing to make a purchase.
The customer comes first, and marketers need to strive to foster meaning relationships with their customer by leveraging personalization technologies that are driven by advanced customer analytics.
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.
We’ve been living in a world of disruption and just when you feel like you’ve figured it out, all the cool Facebook kids go to Instagram. By the time your marketing strategy gets there, you will once again be out of date. If this sounds familiar, and you are finding it hard (impossible?) to keep pace with the changing marketing landscape, you aren’t alone.
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.
Targeting the new fashion customer requires integrating a wider set of big data across store, digital, social and mobile interactions, and stitching together a picture of the customer journey
A key trend to watch out for this year in retail is personalization. Though online retailers have been widely using personalization pioneered by Amazon for many years now, its new avatar in multi-channel retail
This is the most commonly used statistical technique for psychographic profiling. Analysis of this type identifies relatively homogeneous groups of customers based on selected variables.
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.
In which areas of retailing can the power of big data analytics be leveraged, and what are some of the best practices to consider in a retail big data project?
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.
Many stores today are becoming victims of “showrooming”. They see good number of footfalls but low purchases. So, what can be done to entice the visitors to convert into buyers?
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.