Pratyush Nutalapati

As the world becomes increasingly digital, retailers are constantly searching for new ways to enhance the human experience and lead the industry with new ways of frictionless transactions. There are several trends in retail stores that are leveraging mobile apps to enhance the customer experience. Let's explore the cutting-edge innovations that are shaping the future of retail. Mobile checkout: Mobile checkout options are very popular with many retailers which allows customers to scan and pay for items using their mobile phones while they shop. This can speed up the checkout process and make it more convenient for customers. One of the leading implementations is what amazon has built to use in Whole Foods store during checkout for prime customers. Curbside pickup: With the rise of online shopping, many retailers are offering curbside pickup options that allow customers to place an order online and then pick it up at the store. This can be done through mobile apps, making it easy f...

Building a mobile app can be a great way to engage with customers and provide them with a convenient and personalized experience. However, it's important to consider the costs and resources required to build and maintain a mobile app before deciding to move forward. Here are a few factors to consider when determining if building a mobile app is the right move for your business: 1. Audience : Consider your target audience and whether they are likely to use a mobile app. If the majority of your customers are mobile users, then a mobile app can be a great way to reach them. 2. User Experience : If a mobile app can provide a better user experience than a mobile website, then it's worth considering building one. For example, if your app requires frequent usage or offline functionality, then a mobile app would be more suitable than a mobile website. 3. Branding : A mobile app can be a powerful tool for building brand awareness and loyalty. If your business is looking to establish a s...

A loyalty program is a powerful tool for building relationships with customers. By understanding the needs and desires of our customers and rewarding them for their loyalty, we can build long-term relationships that benefit both the customer and the business. But a loyalty program is more than just rewards and discounts. It's about creating a sense of belonging and community. In today's highly competitive marketplace, building customer loyalty is essential for the success of any business. A loyal customer base not only ensures repeat business, but also acts as a powerful marketing tool through word-of-mouth recommendations. But how do we create a loyal customer base? The answer lies in a well-crafted loyalty program. By understanding the needs and desires of our customers and rewarding them for their loyalty, we can build long-term relationships that benefit both the customer and the business. Let us explore the world of loyalty program and discover how to create a strategy tha...

Training a panda to jump might need 2 or 3 sessions before it learn to move from one bin to other with accuracy without falling. After this irrespective of shape, type or form of bin it can move using the skills it has learned. Machines on the other hand to learn something simple will need lot of data and scenarios exposure before they can predict the outcome with some accuracy. This is where machine training models play in .. For building machine models, we ran experiments using Amazon Sandbox and then trained using different ML models such as Sklearn, lgbm and gradient boosting algorithm - XGBoost. We used Model as service paradigm exposing the service using a docker container through Amazon ELB and orchestrated using Kubernetes (Rancher). Irrespective of what you are trying to achieve from the model there are six steps to build a machine learning model - Define Problem - Convert business problem that we are trying to solve to a machine learning problem. Understanding business ...

    I classify Decision Systems at a very high level as Simple/Narrow, Near Human and Beyond Human. Decision is about classifying what you have in the front and be able to pick the one that is best for the context. Lets get into more details of what each of these category of Systems are - Simple/Narrow Most of the decision systems that are available currently are focused on Simple/Narrow versions of AI such as Alexa, Siri, Autonomous Cars, and many more. These decision systems are able to handle huge amounts of data and make complex calculations very quickly. They take a situation or event they are trained for and provide the same response every single time - They are trustworthy once we get decisions that we expect from the given situations that we trained them for. These Systems will have no context or snapshot of past interactions or memory and operate on the per-programed representations of the world. Near Human The decision Systems are more advanced that apply their limi...

  Scale globally –  Build all the components with global in perspective and design for reuse - Languages, currency and metric conversions User experience  -Intuitive, simple use, best-in-class UX aligned with the brand Data integrity –Respect and utilize Enterprise source of systems of record API first - Create foundation reuse, plug & play building blocks, and near real-time data exchange Cloud first  - Cloud based, Software as a Service, IaaS for cost savings and efficiency  Responsive / Mobile  - Supports all form factors, Responsive UX, Device agnostic Reliability –Error Handling / Monitorable / Proactive issue Automate – Build simplified tools that promotes automation and seamlessly integrate to other tools, thereby reducing manual work and generating operational efficiencies   Synergize –Breakdown process/data silos & leverage existing solutions before seeking out new tools, applications, integrations, product vendors, and data. Robu...

  We all have moved organizations and teams over our work life. Navigating as a leader in the new organization or department is extremely important to be a transformational leader to build passion, energy and teams that innovate continuously.   > Need to invest considerable time and emotional energy in the process to understand the current culture and setup > Need  a multi-level approach: focus on individual, team and organizational (i.e. culture, strategy) levels > Exercise influence without relying on formal hierarchy is a valuable skill > Team Behavior Analysis > Call out > Values and mapping the clashes > Interests and Perspectives > Collaboration can be enhanced by actively managing conflict > "How are you feeling at this point about the discussion?" > Team need to know you care and are aligned to help them grow and be successful to build followership   Most important as a leader is to create trust in the team that the new proposed...