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Supply Chain Analytics 2018-04-19T03:51:18+00:00

Supply chains have always been driven by statistics and quantifiable performance indicators. However, the supply chain management process is quite delicate knowing that the process can experience major setbacks due to weather conditions or equipment issues. However, with real-time analytics and even predictive analytics, supply chain management can be handled more proactively. For example, ML algorithms can train the stock management system to predict when restocking is required to optimize production batches and eliminate inefficiencies. With Analance, bridge the gaps in the synchronization between planning and execution, get improved data visibility across the business spectrum, discover some of the factors leading to stock outs or excess inventory, identify inflexible networks and distributors and lower the risks of introducing new elements into your supply chain processes.

How Analance helps to identify concerns before they become problems

  • Identify opportunities to optimize inventory storage, and back-orders by using sophisticated predictive engines and other econometric models.

  • Identify inefficient networks and likelihood of late deliveries to make proactive business decisions to benefit your brand and organization.

  • Identify segments in the data to help you understand what needs to be produced, shipped, ordered, or stored, and also when, where and by who.
  • Identify sales hubs and predict product demand based on customer age, gender, race, geographic location, and many more indicators.

  • Identify and influence customer behavior to increase footprint, conversions, and sales from your website and other social media platforms.

  • Identify customer perception about your brand, change in product preferences, public feedback, service comparisons from real customers and more by analyzing social media feeds to plan business moves intelligently.

  • Identify weather changes ahead of time using predictive models to make real time decisions about product shipments.

  • Identify opportunities for streamlining processes and functions using the variety of visualizations available to improve productivity and efficiency.

Why Supply Chain Managers like to use Analance

  • SaaS Analytics Platform that is truly self-serve allowing key decision makers in supply chain management to easily leverage advanced machine learning algorithms and data exploration capabilities that categorize, score, correlate and analyze data in minutes, to act fast.
  • ML Algorithms made easy. Step by step guided process is built to make it easy for all end users to master the platform in minutes to fully utilize the platform.
  • Built to scale. . Analance has a high data handling capacity which is supported by our benchmarking reports to be able to support the growing need of supply chain management.

  • Leverage only what the business needs. Why invest in something you are yet to use? Perform BI, data analysis, forecasting, and much more using just one platform. Add on any module and access them seamlessly from a single pane, with no integration required.

See Analance in Action

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