Supply Chain Analytics

Need for Supply Chain Analytics

Supply Chain Analytics brings data-driven intelligence to your business, reducing overall cost to serve and improving service levels. It aims to improve operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational, and tactical levels. It encompasses virtually the entire value chain: sourcing, manufacturing, distribution, and logistics.

In today’s competitive global marketplace, excellence in supply chains is a key competitive differentiator. Hundreds of turbulent events can trigger volatility in supply markets, affecting material and service availability and resulting in higher costs. There is a need for real-time performance visibility and insight to provide a strategic advantage that enables operational agility to minimise the impact of disruptive events.

There is an increased interest in real-time supply chain support tools that address supply chain traceability, multi-level inventory optimization, demand signal repository, and leverage point-of-sale data.

Relying on traditional supply chain execution systems is becoming increasingly less viable in the context of global market fluctuations, pricing pressures, and increasing customer expectations. There are also recent economic impacts, such as fluctuating fuel costs, the global recession triggered by the financial crisis and increased competition from low cost manufacturers. All these factors can potentially create excesses in your supply chain, but this is where analytics will help to provide a competitive edge.

Our Capabilities and Approach

All businesses with supply chains devote a fair amount of time and effort to looking for this competitive advantage. Due to their complexity and critical role in global commerce, supply chains play a key part in a company’s cost structure and profitability. The use of analytics in supply chains is a great way to provide an edge over peers. Supply chains can look simple compared to other parts of a business, even though they aren’t. It is possible to dig deeper into existing data and develop more predictive insights, enabling a business to become proactive rather than reactive.

With predictive analytics, manufacturers can leverage the data within their systems, both legacy and modern, to derive real-time insights and use that information to optimise all decisions, be they operational, tactical or strategic. The industry is quickly adapting to a range of analytics solutions. An overview of a few of the areas and an indication of the kinds of insights that can be undertaken is given below:

Our Capabilities in Supply Chain Analytics include:

Virtual Control Tower: A Cloud-based online platform with a role-based access system Data

• Integration Ability
  • To integrate with supplier and sub-supplier data in different source formats.
• Monitoring and Data Analytics
  • Utilize the existing project schedule in a way that the tracking data can be compared against a set of baseline schedule parameters.
• Compliance
  • Comply with the company’s IT security standards without exception and without any limitation.
• Realtime Visualization
  • Provide real-time visualisation of data in an agreed and effective way in order to communicate efficiently with various personas in the ecosystem.
• Two-way Communication
  • Create a two-way communication stream between the company and the supplier systems.
• Cognitive Computing Engine
  • Compute on Demand, Constraint-based Programming
  • Data Analytics, Statistical Models, Predictive Analysis, and Scenario Management are collaborative.
• Responsive Mechanism
  • Insights, Actions, Tracking, Monitoring & Control
  • Internal and External Collaboration
• Early 360-Degree Visibility
  • Data Consolidation, Mapping, and Preprocessing
  • Data Feeds: Any System, Data or Format
  • Alerts and Exceptions Management
  • Presentation, Mobility & Security

What’s in it for you?

• Visibility– E2E visibility into the required stocks, domestic and international supply of the material, and import requirements.
• Cost– $/ton reduction and demurrages paid.
• Mobility– the availability of critical information on mobile devices.
• Drive Decision Making– Start analysing patterns in procurement due to seasonality and external factors and suggest decisions based on the forecasted trend.
• Automation– minimal manual intervention for all reports and dashboards is needed for visibility.
• Interfacing and Integration– Integration with the existing ERP for data utilization. Also, options for manual entry
• Analytics– Analytics for developing models on different scenarios of logistics planning, procurement, inventory and port operations to predict materialization and optimize the resources with effective rake planning and scheduling.

Sales-Domain:

To run a profitable business, it is imperative to check the sales and identify the areas that are under performing. To solve this problem, we have created the Sales Dashboard to show the comparison between the trade value and the target that needs to be achieved. This Dashboard gives information on sales quantity and net value, which can be drilled-through based on volume, revenue, tax details, rebate, and trade. The information in the dashboard allowed further slicing and dicing based on the region, products, and wholesalers to further analyse the data. This allowed the user to match the current data with the target data and identify the areas that were lacking to correct the projection to match the expected targets. The dashboard also had historical data comparisons ranging from monthly and yearly with the current data to get a relative idea of the company’s sales figures.

Learn more with Celebal Technologies.