Inventory Management System Features — Basic + Advanced
Inventory management software is a new-era replacement for spreadsheets. Feature-rich systems help run smart inventory management strategies and optimize processes.
There are tons of out-of-shelf systems with a wide assortment of features available. Yet, only about 60% of inventory management software features are used by an average business. Roughly 40% of functionality remains unused.
It’s vital to develop software that comprises the inventory management system features a business needs to avoid wasting resources when developing a new solution.
Find the selection of the key and advanced features to implement when developing a new system below.
Key Features | Advanced Features |
1. Inventory tracking | 1. Automated re-ordering |
2. Identifiers issuing and scanning | 2. Third-party software integration |
3. Order management | 3. Multi-location inventory management |
4. Item storage management | 4. Demand forecasting |
5. Reports and analytics | 5. IoT-driven inventory management |
6. Backup and data import/export | 6. Automated item quality check |
7. Automated workflows | |
8. Bundles and multiple price tiers |
Let’s elaborate on the core and advanced features to implement. Discover problems they help solve and how these features are applied.
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SIX KEY FEATURES OF INVENTORY MANAGEMENT SYSTEM
The vital inventory management software features help enable the basic functionality of new software. They help track items in a warehouse, manage orders, and access analytics.
1. Inventory Tracking
Track the location and movement of items in a warehouse. The feature enables an inventory management system to record information about the placement of items, their quantity, and transfer history.
By updating items’ location data in live time, you can trace work-in-progress (WIP) products. An inventory management system alerts responsible managers when the in-stock level reaches a defined minimum value. Also, this feature of an inventory management system helps track the expiry date of perishable products.
Statistics: 95% of businesses consider inventory tracking as a critical feature.
Problems Solved | Feature Application |
Poor inventory visibility | Real-time serial number tracking |
Manual item counting | Stock level monitoring |
Stockout and overstocking | Location tracking and movement history check |
Erroneous inventory data | Missing items identification |
Increased product wastage | Expiry date tracking |
2. Data Backup and Import/Export
Ensure data safety and enable fast recovery after unforeseen data losses. Import/export inventory data in bulk to rapidly migrate information between different systems in a supply chain. Validate and transform data to ensure its integrity for creating information exchange pipelines.
Statistics: 90% of businesses define data backup and import/export as the baseline functionality.
Problems Solved | Feature Application |
Data loss | Full and incremental backup |
Manual backup creation and management | Data check and validation |
Poor information integrity | Automated data backup and recovery |
Insufficient data-sharing capabilities | Inventory data import and export |
Manual product information entry |
Data transformation |
3. Identifiers Issuing and Scanning
Create identifiers in the form of barcodes, QR codes, RFID tags, or SKU codes. Quickly scan packages to discover detailed information about items. Various equipment like barcode scanners, cameras, or smartphones can be used for scanning labels.
Data encoded into barcodes can be automatically fetched and input into an inventory management system. It helps enhance order fulfillment accuracy and performance.
Statistics: 87% of businesses identify efficient product identification as an important feature.
Problems Solved | Feature Application |
Data entry errors | Product scanning and information update |
Time-consuming or inaccurate order fulfillment | Automated data entry and data forms pre-population |
Insufficient product identification | Identifier code generation and label printing |
Poor item traceability | Item movement tracking |
Manual inventory audit | Product identification for order collection |
4. Order Management
Use a centralized system to collect and fulfill orders. The feature enables the opportunity to check in-stock inventory and discover the location of items to pick and pack rapidly. Trace the delivery of packages and manage returns effectively.
Also, this inventory management system software feature enables the opportunity to reserve items in a warehouse and track the status of orders.
Statistics: 84% of businesses state that order management is an obligatory-to-have feature.
Problems Solved | Feature Application |
Time-consuming order processing | Order processing |
Order processing delays caused by stockout | In-stock inventory check and reservation |
Return-handling mistakes | Order confirmation and tracking |
Manual order status tracking | Customer communication |
Human errors | Automated returns processing |
5. Storage Management
Organize storage space and enable smart item placing to minimize the efforts and time required to pick and pack items. Easily discover the physical location of inventory. Besides, this inventory management system feature helps meet storage environment conditions requirements.
Statistics: 82% of businesses identify asset tracking features as critical functionality.
Problems Solved | Feature Application |
Insufficient storage space utilization | Storage rules and policy creation |
Item location challenges | Space reservation for production |
Improper storage conditions | Guided item placement |
Time-consuming order picking and packing | Items’ physical location identification |
Inventory misplacement | Smart stock rotation |
6. Reports and Analytics
Collect all the data across a supply chain and extract valuable insights. Automatically create reports and visualize raw data. Also, the feature enables the opportunity to create data analysis pipelines to check inventory data in live time.
Statistics: 81% of businesses state that analytics is a key functionality of an inventory management system.
Problems Solved | Feature Application |
Poor supply chain management and visibility | Data collection and storage |
No real-time data | Information analysis |
Lack of data-driven decisions | Data visualization and custom report generation |
Improper inventory replenishment planning | Dashboards and live-time data update |
Manual report creation | Trend and error identification |
Let’s build MVP with baseline features
EIGHT ADVANCED INVENTORY MANAGEMENT SYSTEM FEATURES
Improve your inventory management system by supplementing it with top-tier inventory management software features.
1. Automated Re-Ordering
Replenish items automatically to maintain the optimal level of inventory in a warehouse. The feature monitors in-stock inventory and triggers automatic product re-ordering. It helps create replenishment requests that are sent to suppliers once approved by executing managers.
Also, the feature helps enable a vendor-managed inventory replenishment system. A supplier monitors the level of in-stock inventory. When it reaches the minimum required value, a vendor automatically delivers a new batch of products.
Problems Solved | Feature Application |
Stockout and overstocking | Reorder points configuration |
Manual new order submission | Automated stock level monitoring |
Data entry errors | Order review and approval |
Manual stock-level monitoring | New orders tracking and management |
Poor supplier management | Vendor communication |
2. Demand Forecasting
Apply algorithms or use machine learning models to forecast trends and demand changes by analyzing historical data. Avoid stockout by preparing for demand spikes and seasonal changes in advance. Smart adjustments of inventory replenishment strategies help decrease the wastage of perishable products.
Problems Solved | Feature Application |
Stockout and overstocking | Demand change forecasting, based on historical data |
Insufficient item replenishment strategies | Identification of trends and repeating patterns |
Lack of information on seasonal and repetitive demand changes | Risk identification |
Increased product wastage rate | Market insights discovery |
Faulty market analysis | Replenishment strategies optimization |
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3. Third-Party Software Integration
Develop an integrated inventory management system by connecting software from different vendors. Fetch orders and inventory data from different platforms and process it in live time using this inventory management system feature. Besides, you can enhance the functionality of a system by connecting additional modules.
Problems Solved | Feature Application |
Ineffective workflows | Inventory management system functionality extension |
Isolated data in disparate platforms | Centralized inventory data fetched from multiple systems |
Manual data collection from different systems | Automated data pipeline creation |
Limited functionality of inventory management software | Real-time information synchronization |
System scaling up challenges | Centralized order processing and tracking |
4. Multiple Storage Facilities Management
Manage inventory stored in multiple warehouses. Choose the most optimal storage facility to fulfill and deliver orders fast, based on clients’ locations. Enable full visibility across multiple facilities using a centralized warehouse inventory system.
Besides, the functionality enables easy submission of transfer requests and automated multi-storage inventory management operations.
Problems Solved | Feature Application |
Poor order picking and packing efficiency | Cross-docking stock transfer requests |
One storage-focused inventory management | Centralized inventory visibility |
Inefficient item storage and distribution | Multi-location items picking, packing, and replenishment |
Lack of centralized visibility across disparate facilities | Multiple storage facilities management |
Excess inventory turnover | Optimized order fulfillment |
5. IoT-Driven Inventory Management
Internet of Things (IoT) describes a set of smart devices connected to one network. The most popular smart devices supply chain businesses use are sensors, scanners, thermostats, cameras, and robotics. They foresee the opportunity to track inventory and maintain warehouses.
Implementing robotic actuators and automatic guided vehicles enables the opportunity to move items automatically or create dark warehouses, 100 %-automated storage facilities. Also, smart sensors can alert you about emergencies like leakage, fire, or unauthorized access.
Problems Solved | Feature Application |
Insufficient inventory traceability | Real-time data collection from sensors |
Manual storage facility environment check and management | Item tracking and automated scanning |
Lack of real-time data on work-in-progress inventory | Centralized warehouse control and management |
Manual item scanning, picking, packing, and transportation | Automated item picking, packing, and transportation |
Increased level of errors | Smart storage environment control |
Read also:
6. Automated Item Quality Check
Ensure received and distributed items have no defects and match defined quality standards. To inspect inventory, incorporate diverse devices like cameras, weight scales, temperature sensors, or computerized tomography (CT) scanners.
Problems Solved | Feature Application |
Delivery of damaged or defective items | Custom item inspection workflow creation criteria establishment |
Increased wastage or return rates | Automated inventory inspection |
Regulatory compliance standards violation | Inventory quality check results collection and analysis |
Ineffective manual random sampling inspection | Alerts on items that haven’t passed an inspection |
Time- and resource-consuming quality control process | Regulatory compliance standards check |
7. Automated Workflows
Optimize the performance of the labor force and decrease the number of errors by implementing automation. Create custom rules that trigger actions when specific conditions are met. The feature implementation helps automate a lot of processes like item scanning, barcode creation, data update, transfer request creation, and others.
Problems Solved | Feature Application |
Manual data entry, order management, and document creation | Automated order processing and transfer request creation |
Increased manual error rate | Automated Inspection and return of defective items |
Timely item sourcing and order fulfillment | Documents and form pre-population |
Manual customer and vendor communication | Automated picking and transfer of expired items to a disposal unit |
Manual item sorting and return | Automated message delivery to customers and vendor |
8. Bundles and Multiple Price Tiers
Create custom offers and implement loyal customer price tiers. Using this feature, you can create product kits by bundling a group of items into a single unit. Also, the feature foresees the opportunity to set custom discounts or multiple price tiers to enable adjustable pricing strategies.
Problems Solved | Feature Application |
No membership or loyalty programs | Product kitting |
Inflexible pricing strategies | Quantity-based discount |
Insufficient upselling and cross-selling | Custom discount creation |
Decreased customer satisfaction | Customer segmentation |
No bulk sales opportunity | Item cross-selling suggestions |
Take your IMS to the next level with advanced features
CONNETSX — MEDICAL INVENTORY MANAGEMENT SYSTEM
The CodeIT team has hands-on experience in creating software with advanced inventory management system features.
Learn more about ConnectSx, the solution created by our team from scratch.
Problem
The client was unsatisfied with the internal processes’ inefficiency. Medical staff used spreadsheets to track and manage inventory manually. The processes were time-consuming, with a high risk of making an error.
The client has hired the CodeIT team to develop an efficient digital solution.
The client has hired the CodeIT team to develop an efficient digital solution.
Solution
Our team has tapped into the existing solution development. Providing custom software development services, we’ve analyzed it and prepared a detailed project reboot plan.
Our team has created three standalone applications:
- Web inventory management app
- Mobile inventory management app
- Mobile UDI scanning app
Using the developed web and mobile applications, users can:
- Manage and trace all the inventory items
- Import data from external sources
- Track medical product expiration dates
- Collect inventory data and analyze it
- Search lost items
- Submit transfer requests
- Scan barcodes to discover detailed information
Deep dive into the project and discover the application development processes with every step highlighted in our case study.
Case study:
INVENTORY MANAGEMENT SOFTWARE DEVELOPMENT — BEST PRACTICES
Take the guesswork out of inventory management software development with best practices.
Pick Optimal Tech Stack
It’s vital to pick the right tech stack for developing a new system due to the limitations of technologies used in inventory management. Choose the most optimal solution to:
- implement inventory management system features
- stay on track with budget
- release features within a defined timeline
- enable the opportunity to scale up and upgrade
For example, by considering the native app development approach, a business needs to create two distinctive applications involving two teams of software engineers. However, by opting for a cross-platform system, they may develop an app that works on different platforms using one codebase.
Read also:
Understand Business Challenges and Bottlenecks
Focus on implementing inventory management software features that solve the most critical business challenges. Unlock the true potential of your business by eliminating bottlenecks in workflows.
New features of an effective inventory management system should deliver feasible outcomes or solve business problems.
Define Inventory Management System Features List
For starters, you have to consider the key features of an inventory management system to implement. Focus on critical functionality to create a system’s MPV. It can be further enhanced with other less critical but helpful features.
Create a list of the most important features that should be presented in a product’s MVP. Other features should be prioritized to develop and release the most valuable functionality first.
Enable Real-Time Data Sharing
Real-time data sharing helps create centralized software that fetches data from multiple sources. Also, it helps manage inventory across multiple facilities.
The most popular ways to enable real-time data exchange between systems is by using:
- API integrations. The application programming interface comprises a set of rules that enable developers to connect software from different vendors.
- Centralized data repository. An on-premises or cloud-based server can collect all the data across a supply chain and share it with other systems in live time. Besides, data can be preprocessed to improve the performance.
- Point-to-point synchronization. A direct TCP/IP connection between two software applications for real-time data exchange.
The development of additional data mapping tools may be required to connect third-party systems.
Consider Scalability
Having a long-term strategy is important when developing a new solution from scratch. The two software architecture options to choose from are:
- Monolith: Easy to build core functionality. However, the more solutions’ complexity increases, the more challenging it is to add new features.
- Microservises: Requires more effort to develop inventory management software with the baseline functionality. New features can be easily added as distinctive microservices, even if they are built using different technologies.
Read also:
CONCLUSION
The key features of an inventory management system that help enable the baseline functionality are:
- Inventory tracking
- Identifiers issuing and scanning
- Order management
- Item storage management
- Reports and analytics
- Backup and data import/export
The advanced inventory management system features that help enhance the functionality of the existing software are:
- Automated re-ordering
- Third-party software integration
- Multiple-location management
- Demand forecasting
- IoT-driven inventory management
- Automated item quality check
- Automated workflows
- Bundles and multiple price tiers
Need IMS with a custom feature set?
The real-time inventory tracking and control software enables continuous visibility across a supply chain. Trace the movement of items in live time. Receive instant updates on in-stock/out-of-stock inventory, detected issues, processed orders, etc.
The feature helps enable automatic order fulfillment capabilities by checking in-stock inventory before accepting a new request. Also, the feature helps reserve items, track their processing statuses, and automate workflows.
This inventory management system feature helps avoid stockout and overstocking by creating data-baked product sourcing strategies. Demand forecasting features help predict seasonal demand spikes and trend changes or detect repetitive patterns in customer behavior.
Barcode scanning helps increase item sourcing, picking, and management efficiency and speed. Also, it reduces the risk of human error and eliminates the need to enter data manually. A barcode or QR code can contain encoded detailed information about a product.
Inventory reporting tools help pre-process collected data and deliver useful insights. Businesses can use detailed analytics to define bottlenecks and track the results of their strategy adjustment decisions.
Automation helps optimize inventory management processes by reducing the amount of manual input required. The main activities that can be automated are:
- Barcode scanning and label issuing
- Inventory tracking
- Order processing and management
- Item picking and packing
- Inventory receiving, replenishment, and returns
- Item inspection
- Vendor and customer communication
The best practices for implementing an inventory management system that matches 100% of business needs are:
- Optimal tech stack selection
- Business challenges and bottlenecks identification
- Inventory management system features list creation and prioritization
- Real-time data-sharing functionality development
- Product scalability opportunities identification