Accelerating the
Industrial Internet of Things

SML Intelligent Inventory Solutions

SML Intelligent Inventory Solutions
SML Intelligent Inventory Solutions
SML Intelligent Inventory Solutions
SML Intelligent Inventory Solutions
Microsoft Microsoft
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SML Intelligent Inventory's customers, some retail and supply chain businesses wanted a cost-efficient way to improve their inventory management so that they can increase their revenue.
SML Intelligent Inventory Solutions (SML IIS) is an expert in supply chain operations, radio frequency identification (RFID) technology, and enterprise software development.
The Clarity Application Suite uses radio frequency identification (RFID) technology to enable customers to see their entire supply chain, end to end, with greater precision and granularity than ever before, driving better insights, analytics, and decision making. Microsoft Azure App Service and Microsoft Azure Virtual Machines are used as supporting software.

Hardware Components

Software Components
- Microsoft Azure App Service
- Microsoft Azure Virtual Machines
Inventory Logistics data, including inventory cycle count, shipment verification, transfers
Cutting Edge (technology has been on the market for <2 years)
Employee Efficiency - The Clarity Application Suite decreased labor cost of inventory processes by 50% or more.
Data Aggregation - Cloud solutions enable aggregation of 'big data' to reduce out-of-stocks and shrinkage up to 25%.
Real-time Tracking - The location of individuals and assets can be identified in near real-time.
The Clarity Application Suite increased utilization of assets by 50% or more.
The solution increased throughput by 70% by decreasing errors, latency, and bottlenecks in operational processes.
The Clarity Application Suite decreased outstanding sales by 10% more with accurate, timely invoices.
The IoT ONE Radar indicates the mix of hardware, software and services used in an IoT solution.
Products used by end users that contain IoT technologies. Examples include enabled equipment, wearables, hand-held scanners, and tracking devices.
Horizontal applications are standardized (e.g., asset tracking). Vertical applications are tailored to specific needs (e.g., delivery fleet management).
APIs are the market enabler for IoT. They allow users to manage devices, enable data transfer between software, and provide access capabilities.
Middleware integrates the diverse components of an IoT application by structuring communication, workflows, and business rules.
IoT analytics includes real-time or edge computing and batch analysis. Analytics can be behavioral, descriptive, predictive, or prescriptive.
Visualization solutions use dashboards, alerts, events, maps, and other tools to present easily comprehensible data to end users.
Data management solutions capture, index and store data in traditional database, cloud platforms, and fog systems for future use.
System integrators link IoT component subsystems, customize solutions, and ensure that IoT systems communicate with existing operational systems.
IoT data management consultancies help to make sense of big data, decide which data to maintain and for how long, and troubleshoot IT issues.
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