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IoT Strategic Roadmap

Ensure that the development and deployment of your IoT solutions occurs in the most efficient manner with our strategic IoT roadmap that aligns with business goals and needs.
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vaikai logo
fideltronik logo
xtrava logo
runvi logo
fused logo
Vapeix logo
silvair logo
qorvo logo
sumup logo
vaikai logo
fideltronik logo
xtrava logo
runvi logo
fused logo
Vapeix logo
silvair logo
qorvo logo
sumup logo
vaikai logo
fideltronik logo
xtrava logo
runvi logo
fused logo
Vapeix logo
silvair logo
qorvo logo
sumup logo
vaikai logo
fideltronik logo
xtrava logo
runvi logo
fused logo
Vapeix logo
silvair logo
qorvo logo
sumup logo
vaikai logo
fideltronik logo
xtrava logo
runvi logo
fused logo
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Outline of the Strategic IoT Roadmap

During the Strategic IoT Roadmap, we will develop a plan with you that outlines the steps and milestones necessary to develop and deploy IoT solutions.
It serves as a comprehensive guide, helping businesses navigate the complexities of IoT adoption, from initial concept to full deployment and optimization. 

Essential steps to ensure a comprehensive and effective strategy

01

Understand the Customer and Consumer Needs

We conduct in-depth research and analysis to understand the specific needs and preferences of your customers and consumers. This insight forms the foundation for our strategic planning.

02

Map Needs with Technology Roadmap

We align identified needs with a detailed technology roadmap, ensuring that our IoT solutions are tailored to meet your business objectives and customer requirements.

03

Analyze Existing Data Sources and Data Pools

We analyze various data sources, such as transactional data, usage-based databases, and social media interactions, to extract valuable insights that inform our IoT strategy and solution design.

04

Develop New and Improve Existing Business Models

Based on the insights gathered, we collaborate with your team to develop new business models or enhance existing ones, leveraging IoT capabilities to drive innovation and competitiveness.

05

Needs Hierarchy and Segmentation

We prioritize customer needs through a hierarchical approach, segmenting them based on importance and relevance to ensure targeted and effective IoT solutions.

06

Feature Screener and Mapping with Product Roadmap

We define and prioritize product features through a rigorous screening process, mapping them directly onto our product roadmap to guide development and implementation phases.

07

Validated Product and Communication Concepts

We validate product concepts and communication strategies through market testing and feedback loops, ensuring alignment with customer expectations and market demands.

Benefits of choosing our Strategic 
IoT Roadmap for your IoT solution

Clear Vision and Objectives

Our strategic IoT roadmap helps you define a clear vision and set specific, achievable objectives. This ensures that all IoT initiatives are aligned with your overall business goals and strategic priorities.

Structured Implementation

We provide a structured approach to implementing IoT solutions, breaking down the process into manageable phases. This helps prevent potential issues and ensures a smoother deployment.

Performance Measurement

Our roadmap includes key performance indicators (KPIs) and milestones that enable your organization to track progress, measure success, and make data-driven decisions to optimize IoT initiatives.

Risk Management

Our roadmap includes key performance indicators (KPIs) and milestones that enable your organization to track progress, measure success, and make data-driven decisions to optimize IoT initiatives.

Resource Allocation

Our roadmap outlines the necessary resources, including budget, personnel, and technology, ensuring that your organization is well-prepared to support IoT projects effectively.

Future-Proofing

By considering future trends and technological advancements, our IoT strategic roadmap ensures that your organization remains adaptable and can scale its IoT solutions as needed.

Why should you choose needCode?

IoT Strategy Development

We specialize in crafting tailored IoT strategies that align closely with your business objectives, ensuring impactful outcomes.

Risk Management

With our experience, we proactively identify and mitigate risks throughout the IoT project lifecycle, ensuring smooth implementation and maximum return on investment.It supports faster release cycles, enabling more efficient deployment and updates of IoT solutions.

Market Analysis

Gain a competitive edge with our deep market analysis, providing actionable insights into trends and competition to drive informed decisions.

Regulatory Compliance

We ensure your IoT solutions meet industry regulations and standards, maintaining legality and customer trust.

Technology Selection

Receive expert guidance in selecting IoT technologies that are scalable, secure, and aligned with your long-term business goals.
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Testimonials

“Many strategic decisions were based on the market studies made in Martin’s team. They allowed us to make decisions that we would not have made without his solid insights.”
Andi Vonlanthen
Andi Vonlanthen
Group Vice President Research & Development at Sonova

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Manufacturing

Modern manufacturing machines are typically equipped with IoT sensors that capture performance data. AIoT technology analyzes this sensor data, and based on vibration patterns, the AI predicts the machine's behavior and recommends actions to maintain optimal performance. This approach is highly effective for predictive maintenance, promoting safer working environments, continuous operation, longer equipment lifespan, and less downtime. Additionally, AIoT enhances quality control on production lines.

For example, Sentinel, a monitoring system used in pharmaceutical production by IMA Pharma, employs AI to evaluate sensor data along the production line. The AI detects and improves underperforming components, ensuring efficient machine operation and maintaining high standards in drug manufacturing.

Logistics & supply chain

IoT devices - from fleet vehicles and autonomous warehouse robots to scanners and beacons - generate large amounts of data in this industry. When combined with AI, this data can be leveraged for tracking, analytics, predictive maintenance, autonomous driving, and more, offering greater visibility into logistics operations and enhancing vendor partnerships.

Example: Amazon employs over 750,000 autonomous mobile robots to assist warehouse staff with heavy lifting, delivery, and package handling tasks. Other examples include AI-powered IoT devices such as cameras, RFID sensors, and beacons that help monitor goods' movement and track products within warehouses and during transportation. AI algorithms can also estimate arrival times and forecast delays by analyzing traffic conditions.

Retail

IoT sensors monitor movement and customer flow within a building, while AI algorithms analyze this data to offer insights into traffic patterns and product preferences. This information enhances understanding of customer behavior, helps prevent stockouts, and improves customer analytics to drive sales. Furthermore, AIoT enables retailers to deliver personalized shopping experiences by leveraging geographical data and individual shopping preferences.

For instance, IoT sensors track movement and customer flow, and AI algorithms process this information to reveal insights into traffic patterns and product preferences. This ultimately leads to better customer understanding, stockout prevention, and enhanced sales analytics.

Agriculture

Recent research by Continental reveals that over 27% of surveyed farmers utilize drones for aerial land analysis. These devices capture images of crops as they are and transmit them to a dashboard for further assessment. However, AI can enhance this process even further.

For example, AIoT-powered drones can photograph crops at various growth stages, assess plant health, detect diseases, and recommend optimal harvesting strategies to maximize yield. Additionally, these drones can be employed for targeted crop treatments, irrigation monitoring and management, soil health analysis, and more.

Smart Cities

Smart cities represent another domain where AIoT applications can enhance citizens' well-being, facilitate urban infrastructure planning, and guide future city development. In addition to traffic management, IoT devices equipped with AI can monitor energy consumption patterns, forecast demand fluctuations, and dynamically optimize energy distribution. AI-powered surveillance cameras and sensors can identify suspicious activities, monitor crowd density, and alert authorities to potential security threats in real-time, improving public safety and security.

For example, an AIoT solution has been implemented in Barcelona to manage water and energy sustainably. The city has installed IoT sensors across its water supply system to gather water pressure, flow rate, and quality data. AI algorithms analyze this information to identify leaks and optimize water usage. Similarly, smart grids have been introduced to leverage AI to predict demand and distribute energy efficiently, minimizing waste and emissions. As a result, these initiatives have enabled the city to reduce water waste by 25%, increase renewable energy usage by 17%, and lower greenhouse gas emissions by 19%.

Healthcare

Integrating AI and IoT in healthcare enables hospitals to deliver remote patient care more efficiently while reducing the burden on facilities. Additionally, AI can be used in clinical trials to preprocess data collected from sensors across extensive target and control groups.

For example, intelligent wearable technologies enable doctors to monitor patients remotely. In real-time, sensors collect vital signs such as heart rate, blood pressure, and glucose levels. AI algorithms then analyze this data, assisting doctors in detecting issues early, developing personalized treatment plans, and enhancing patient outcomes.

Smart Homes

The smart home ecosystem encompasses smart thermostats, locks, security cameras, energy management systems, heating, lighting, and entertainment systems. AI algorithms analyze data from these devices to deliver context-specific recommendations tailored to each user. This enables homeowners to use utilities more efficiently, create a personalized living space, and achieve sustainability goals.

For example, LifeSmart offers a comprehensive suite of AI-powered IoT tools for smart homes, connecting new and existing intelligent appliances and allowing customers to manage them via their smartphones. Additionally, they provide an AI builder framework for deploying AI on smart devices, edge gateways, and the cloud, enabling AI algorithms to process data and user behavior autonomously.

Maintenance (Post-Release Support)

When your product is successfully launched and available on the market we provide ongoing support and maintenance services to ensure your product remains competitive and reliable. This includes prompt resolution of any reported issues through bug fixes and updates.

We continuously enhance product features based on user feedback and market insights, optimizing performance and user experience.

Our team monitors product performance metrics to identify areas for improvement and proactively addresses potential issues. This phase aims to sustain product competitiveness, ensure customer satisfaction, and support long-term success in the market.

Commercialization (From MVP to Product

Our software team focuses on completing the full product feature range, enhancing the user interface and experience, and handling all corner cases. We prepare product software across the whole lifecycle by providing all necessary procedures, such as manufacturing support and firmware upgrade.

We also finalize the product's hardware design to ensure robustness, scalability and cost-effectiveness.

This includes rigorous testing procedures to validate product performance, reliability, and security. We manage all necessary certifications and regulatory compliance requirements to ensure the product meets industry standards and legal obligations.

By the end of this phase, your product is fully prepared for mass production and commercial deployment, with all documentation and certifications in place.

Prototyping (From POC to MVP)

Our development team focuses on implementing core product features and use cases to create a functional Minimum Viable Product (MVP). We advance to refining the hardware design, moving from initial concepts to detailed PCB design allowing us to assemble first prototypes. Updated documentation from the Design phase ensures alignment with current project status. A basic test framework is established to conduct preliminary validation tests.

This prepares the product for real-world demonstrations to stakeholders, customers, and potential investors.

This phase is critical for validating market readiness and functionality before proceeding to full-scale production.

Design (From Idea to POC)

We meticulously select the optimal technology stack and hardware components based on your smart product idea with detailed use cases and feature requirements (Market Requirements Document / Business Requirements Document). Our team conducts thorough assessments of costs, performance metrics, power consumption, and resource requirements.

Deliverables include a comprehensive Product Requirements Document (PRD), detailed Software Architecture plans, an Initial Test Plan outlining validation strategies, Regulatory Compliance Analysis to ensure adherence to relevant standards, and a Proof of Concept (POC) prototype implemented on breakout boards.

This phase aims to validate the technical feasibility of your concept and establish a solid foundation for further development.

If you lack a validated idea and MRD/BRD, consider utilizing our IoT Strategic Roadmap service to gain insights into target markets, user needs, and desired functionality. Having a structured plan in the form of an IoT Strategic Roadmap before development begins is crucial to mitigate complications in subsequent product development phases.