Digicorp - Supply Chain Analytics Apps
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The document discusses various factors affecting supply chain management, including the nature of goods, mode of transport, and market conditions. It highlights challenges such as outdated legacy systems and data complexity while presenting the benefits of predictive analytics and optimization strategies. Additionally, it promotes an app-based approach for enhancing data collection and reporting in supply chain operations.
Digicorp - Supply Chain Analytics Apps
- 2. Factors Affecting the Supply Chain â Nature of Goods â Size, Shape, Volume, State â Mode of Transport â Air, Land, Sea, Efficiency, Timeliness â Nature of Market â Size, Proximity, Competitive Landscape, Geography â Economics â Micro and Macro â Demand, Supply, CVP Analysis, Inventory, Carrying Cost, Penalty
- 3. Challenges in Supply Chain ⢠Legacy systems are obdurate, home grown and sometimes acquired due to new acquisitions or have grown with patches to address inadequacies. ⢠Modifying such systems can be time consuming and costly. ⢠The data residing in these systems often is undermined and modifying the underlying database structures can be a nightmare. ⢠Scaling for mobility is often a challenge and costly affair.
- 4. Data interactions and analytics are inevitable to planning process, however we face following challenges as a planning and operations team. â Data complexity is increasing and so need more efforts to analyze it â Diverse data requirement brings new data sources continuously â Necessity of real time data retrieval â Requirement of appropriate presentations for dissemination â Multi-Browsers compatibility and adoption of new standards â Data storage problem and querying large amount of data â Multi-platform support and customised views for different situations â Need for a more user-friendly interface â Integration of business logic with dashboards and reports â Integrate new data with existing data on multiple platforms (desktop, web, mobile) with common language of data â Traceability of records & history not maintained for changes made in past â Multiple people working across multiple sites and projects â Various functions and roles in any organization further add complexity of user access rights â Sharing analytics reports and information on multiple platforms creates information overload Challenges in Supply Chain
- 5. Benefits of Analytics in SCM â Customer Service â Providing the right product in right quantity to the right place at the right time â Cost Control â Minimizing the cost by satisfying the business constraints also requires creative approaches â Planning â Assessment analysis to plan for events i.e. new product launches â Managing Volatility and Uncertainty â Identify and mitigate risk
- 6. How to Leverage Upon Analytics ? ⢠Predictive Analytics ⢠Forecast Future Inventory demand and Safety Stock per product per store ⢠Supply Chain Management Optimization ⢠Minimize the cost by analyzing the cost behaviour and choosing the right route and channel to optimize the network ⢠Segmentation ⢠Segment the Products by ABC analysis ⢠Segment the retailers by CVP analysis ⢠Bundle or Unbundle ⢠Analyze whether bundling the inventory of two different products/brands would increase overall profitability
- 7. Use Case: Predictive Analytics ⢠Business Problem: ⢠How to decide for the levels of inventories? ⢠How to distribute the demand per product per store? ⢠Solution: ⢠Apply Predictive Analytics to check the forecast for different inventories ⢠Also, have the localized forecast to estimate the per product per store inventories ⢠Business Benefits: ⢠Provides the visibility into the levels of inventories ⢠Also identifies the causality as well as other patterns like seasonality or trend affecting the inventory levels to optimize the cost
- 8. Use Case: SCM Optimization â Business Problem: â How to prevent the cost overrun for transportation? â How to relatively choose the best route to minimize cost? â Solution: â Compare the periodic change in cost per path per product â Apply Optimization to minimize the cost â Business Benefits: â Provides the options in routes to reduce cost â Minimize the cost by using the system suggested plan
- 9. â Business Problem: â How to segment the products? â How to segment the retailers? â Solution: â Apply ABC analysis to segment the products by contribution and movement â Apply CVP analysis to segment the retailers â Business Benefits: â Prioritize on the Products and the Retailers to increase the overall profitability Use Case: Segmentation
- 10. Use Case: Bundling and Unbundling ⢠Business Problem: ⢠Would bundling or unbundling the products from different brands/warehouses benefit my business? ⢠Solution: ⢠Apply Scenario analysis to evaluate various bundling and unbundling options ⢠Choose the best option that serve the objective ⢠Business Benefits: ⢠Right mix of bundling and unbundling different products from different warehouse leads to increase in overall profitability by reduction in cost
- 11. Development Approach: App-based Library of configurable SCM Apps* BoTree Data- pipes Data-pipes Data from Disparate Systems/ Geographies ERP Third Party Databases - Data-pipes Data-pipes Data-pipes Data-pipes Common Components Dynamic Alerts App Logistics Apps Supply Management Modular App Based Quick Turnaround Configurable KPI Dashboard We have defined more than 10+ supply chain Apps using our own research and industry experience 11
- 12. Rationale Behind the App-based Approach 12 â Creates a direct channel for data collection and reporting. It replaces email communication to create structured data for analysis. â Fills gaps in process or data mapping of existing enterprise apps like ERP or CRM. â Enables new processes like supplier performance measurement, supply allocation planning, inventory alerts or forecasting. â Allows apps to handle âbig dataâ by usage of distributed computing in cloud. â Implements user rights and data security with an ability to manage data easily. â Business users can implement new business logic with new process at much faster pace.
- 13. Advantages of App-based Approach 13 â Rapid Prototype, Development & Deployment â Only takes 6 ~ 8 weeks to develop and deploy the application for single data-driven problem. If customization is required then it takes another 3~4 weeks. â Configurable web components to suit the client requirements affording quick customization. A true âLEGOâ blocks approach. â Web-based Apps delivered on all types of devices â iOS, Windows and Android all platform and devices of all form factors. â Underlying web platform contains open source java architecture â Zero licensing cost unless IT has specific requirements to use licensed software â Secure and reliable with advanced encryption at platform and data level. Can be hosted on clientâs infrastructure for any sensitive data application. â Library of 10+ most frequent SCM apps suited for the needs of world class supply chain â Library created using years of research into real life complex Supply Chain issues . â Leverage best practices from academia and industry best practices. â Supported by industry practitioners and leading academicians.
- 14. Management Vision â System Development 14 CRM Ticket Management Demand Planning Demand Management Supply Chain Management Platform Order Management Resource planning Order tracking Customer Self Service Ticket tracking Dynamic Collaboration Platform Dynamic Alerts Analytics Sensor Driven Data Acquisition & Analysis Macro / Micro Demand Trends Macro / Micro Supply Trends Future Supply Capabilities Transport status Logistics Management Stock Visibility Demand Sensing/Forecasting KPI Dashboard Connect âSupply Chain Transformationâ Components
- 15. Contact Nachiket Digicorp House, Ambawadi, Ahmedabad 380015 India +91 99789 -49955 nachiket.patel@digi-corp.com Sanket 1411 Zinnia Rd, Missouri City Texas 77489 USA +1 (832) 947-3143 sanket.patel@digi-corp.com Find us on Twitter or Facebook. www.digi-corp.com