AAS - The AI Differenciator !!

AAS-AI.tech is passionate about empowering organizations to transform their business through better smart decisions using AI. AAS-AI.tech brings over 20+ years of IT business experience, working for Fortune 50 companies going through transition and transformation.

AAS-AI.tech team's have strong business acumen, which has been demonstrated through our ability to transition and deliver excellence at companies in multiple industries; business services, pharmacy retail, healthcare, digital solutions, technology, and energy. Analyze large amounts of internal and external data to automate repeatable tasks, improve predictions, and make smart decisions.Our end goal is to provide quality market research and consulting services to customers and add maximum value to businesses worldwide.

A business model is how you generate revenue and profit. It has now moved to a point where services are a major source of revenue. The next change in business models that has started is by the network that interconnects the billions of IoT devices.

IoT solutions integrate the applications, technologies, and requirements of Internet Technology and Operation Technology domains into unified online-offline systems.

Data are the fuel for all IoT systems. All incremental value of an IoT product or offering is related to data acquisition, processing, integration or exploitation.

Why is a specific business model development approach required for IoT solutions?

IoT offers unique growth opportunities in many industries. At the same time, a complex technology stack and value chain must be developed in order to realize those possibilities. This presents specific requirements for the design of IoT business models.

Three domains need to be bridged: the operational technologies (OT), information technologies (IT), and the business.

Top 4 business model for IoT are

PROCESS as a SERVICE: Process-as-a-Service solutions enable improved operational efficiency by deploying sensors, services, and connectivity to monitor or automate processes. For example, providers of asset tracking solutions provide visibility into supply chain processes.

Retail sales : Increasingly traditional products are becoming connected products using IoT and sold over retail channels offering extra value to their customers. IoT Products for consumers such as wearables like fitbit or connected baby monitors or Nest thermostat are sold as retail products.

Product as service: Businesses offer IoT proximity sensors aka 'beacons' for free and charge a subscription fee to the solution that sets up the beacons and tracks inventory inside a factory floor. IoT products sold as a subscription service. e.g Amazon gives away Dash buttons but offers the service to deliver consumable products via Amazon shopping.

Data as a service: An enterprise or industrial solutions, a team of partners come together to offer IoT product, connectivity, and the technology to process IoT data to solve problems for customers. This is sold as a subscription service for the customer by the main solution provider while the partners in the relationship derive OEM revenues from the transaction. An example of this is using IoT in manufacturing to track the health of

equipment to minimize their downtime. The same is used in connected cars, oil wells and airplanes. The customer derives value from the insights from the connected data which justifies the ROI of the subscription.

The value that IoT solutions generate can both be monetized through external customers and provided to internal customers to maximize the aggregate benefit.

The benefits of AI IOT technologies to companies include better decision-making by business users, wider access to concise information, analytics by employees and helping to make companies more agile. As a result, AAS-AI's Adv AI Strategy Architecture (AAISA) have become the key differentiator for our Client's business intelligence platforms

Multiple dimensions need to be considered when designing an IoT business model due to the complexity presented by data centrality, deep tech stacks, and network effects. A clear scope that aligns with long term strategic objectives is crucial when defining where to invest in data utilization and data-driven business models.

Some of core business models problems are resolved and optimized to beat the competition using our Adv AI Strategy Architecture (AAISA),

AAISA provides enhanced AI solutions by applying information & anlytics got from below business strategic work models namely:

• How many companies are in that business Product club?
  
• How your product differ from your competitors?
  
• Are you building a real business model?
  
• What are the factors for profitable IoT business model ?
  
• Can you create breakthrough technology instead of incremental improvements?
  
• How is a Business Product valued?
  
• How can they maximize productivity in the hybrid and flexible work models? How "Engine of Growth" is achieved using these work models?
  
• How can we create value with our company resources in a data-driven way?
  
• What are our company’s use cases?
  
• Which part of our business can we further refine with data?
  
• How can data be managed effectively across the external supply chain and internal value chain?
  
• Do you have the right team?
  
• Do you have a way to not just create but also deliver your product?
  
• Have you identified a unique opportunity that others do not see?
  
• What do they do differently from their competitors who stay mediocre at best?
  
• Which of the Business product features satisfy digital or physical freemium, Product/services as Point of Sales, Remote Usage and Condition Monitoring ?
  
• Do you know when it’s time to pivot?
  
• How do we scale a IOT business model?
  
• Does your service presentation make your clients smile?
  
• How buying your product/service will improve your consumers lives
  

There are four important essential success factors for achieving "Engine of Growth" using IOT Business Model namely

• PRODUCT STRATEGY
  
• What product portfolio differentiation gives you a competitive advantage?
  
• We do SWOT analysis of market segmentation, business objectives, competitor strategies, and the tech landscape to guide product strategy.
  
• REVENUE MODEL
  
• How will your revenue model maximize growth, retention, and profitability?
  
• A detailed understanding of value delivered, customer perception, and sales scenarios guides revenue model optimization.
  
• DISTRIBUTION CHANNELS
  
• How will your achieve superior distribution in competitive markets?
  
• Driving growth with a lean sales force requires effective channel strategy and a highly motivated partner ecosystem.
  
• PROSPECTING STRATEGY
  
• Are you prioritizing the right customers and engaging them effectively?
  
• Buyer journeys, buyer personas, value propositions and prospecting strategy are all oriented around prioritization of use cases.