Advanced Analytics for the Supply Chain
The Supply Chain needs to be able to manage all the business processes tied to the supply chain accessing to precise and punctual information that allow to take effective decisions, able to improve the value and profitability of all aspects related to it, towards stakeholders both internal and external to the company.
The main criticalities that regard the Supply Chain processes are:
- Managing a huge amount of data
- Data integration with operational and financial planning processes
- Control and monitoring the entire value chain
Business Intelligence for Supply Chain Analysis & Management
Blue BI implements Business Analytics solutions for the Supply Chain that can provide effective decision support and generate tangible monetary value.
By integrating the potential of Artificial Intelligence and Machine Learning platforms, our BI solutions increase the effectiveness of supply chain analytics:
- Increased ROI
- Better risk monitoring with predictive and prescriptive analytics
- Consistent Planning of Supply Chain Processes
- Solution of complex problems thanks to the support of Cognitive Analytics and natural language algorithms (NLP and chatbot)
We take the huge amount of data generated, make it meaningful by integrating it with other information both intra and extra corporate and make it easily accessible based on the roles and goals of the people for whom it is intended. In this way we transform the raw data in useful information in real time in order to adapt and to reorganize activities and processes of the Supply Chain in timely and effective way.
Technology
BI solutions for Supply Chain are developed with technology:
- Qlik Sense
- Microsoft Power BI
- Azure Map in Power B
- Sap
They can be integrated with:
- Salesforce, Eloqua, Drupal, Google Analytics, AtTask, Smartsheet
- SAP, SAS ..
- External data sources (market research, web, ...)
Supply Chain Management: Planning, monitoring and predictive analytics
Thanks to Microsoft’s BI platform combined with AI and Machine Learning algorithms, it is possible to operate monitoring, planning, predictive and prescriptive analysis processes that can generate a great economic impact on all areas involved in the Supply Chain: production, machine maintenance, product improvement, warehouse management, logistics, etc.
Pianification
- Customer demand planning through prescriptive and predictive analysis
- Planning of the supplying of the warehouse, taking into account indexes of spin and forecasts of sale
- Production planning in terms of offset, optimization and localization
- Planning of the logistic aspects (times, costs and bureaucratic aspects)
- Financial planning in terms of project costs involving supply chain aspects
Production
Advance Analysis for Supply Chain allows you to better orchestrate production to improve performance, reduce costs, increase business revenue and maintain a level of customer service appropriate to their needs.
- Preventive and predictive maintenance to prevent unexpected downtime, malfunctions and failures
- Reduce energy consumption costs of individual plant components
- Comply with the regulatory parameters required by customers in CO2 emissions
- Optimize production and supply times with geolocation of raw materials, semi-finished products and finished products
- Check actual production and predict deviations from planning
Distribution and transport
- Plan the distribution of products through tools that allow you to show traffic in real-time, to select all the points of the map within a certain distance in Km or minutes from a certain point
- Tracking the location of products traveling to the customer to identify potential delivery delays and manage the event with the customer before it occurs
- Ensure proper storage of the product during transport by continuous detection of environmental conditions and identify any potentially damaged batches causing incorrect storage before they are delivered to the customer
- Optimize the timing of paperwork and customs through the implementation of a system of continuous monitoring of rolling goods
Product improvement and innovation
- Detection of discrepancies with respect to the predefined quality parameters and any anomalies in the production line, allowing the reduction of the control cycle times, as well as the economic impact resulting from the recurrence of the defect
- Identification of any malfunctions or discrepancies by monitoring the installed products to detect causes and responsibilities in order to improve the quality of the product/ service provided
- Design new products or improve existing ones based on information collected by monitoring products installed at customers
Collaborative BI
Traditional and obsolete tools are replaced by analyses and dashboards shared in real time, accompanied by notes and specific considerations, allowing the immediate exchange of information in a real collaborative team work, enriching the value of analysis and scenarios.
Scalable Platform
The approach that Blue BI follows is to gradually grow in number and type of users as well as functionality, making the solution scalable both in terms of resources and costs.
Blue BI Integrations for Supply Chain Analysis
Geo Analytics
The integration of Geo Analytics tools allows geospatial analysis and detailed spatial reports, integrating spatial data with company data, for an immediate view of the production and distribution aspects in relation to the territory. The combination of data superimposed on the spatial map can be used as a navigation and analysis dashboard to make “location related” decisions.
ChatBot
The integration of chatbot tools simplifies access to analytics data. The user can request data, reports or graphs by formulating requests in natural language, to which the Chatbot responds after finding the information through Qlik Sense, then providing certified data. The system is available 24×7 and satisfactorily and automatically solves more than 70% of applications, drastically reducing the workload on the company structures that must provide support.
Optimization of Investment
The structure of the Data Warehouse (repository of the information) is realized through the platform
Microsoft Power BI that allows you to relate all the information from the sales area,
production and logistics, the CRM system, external sources (web, market analysis, etc.) and
internal and external stakeholders.
Efficient Solutions
Adoption
We measure the User Adoption of sharing and analysis tools to intercept critical issues and intervene promptly with corrective measures that allow to maximize the return on the Business Analysis investment for the Supply Chain.
Custom applications for user
Possibility to modify the analysis processes in complete autonomy and safety, in an environment distinct from the certified versions.
Integration and Mashup
Possibility to integrate the analyses in web applications of the company intranet or on the institutional site, so as to make available automatically updated data.