Supply Chain Analytics Engagement Helps a Global Manufacturer Develop an Effective OTIF Strategy

May 26, 2017

Quantzig’s recent engagement on supply chain analytics for a leading manufacturer helps reduce their inventory replenishment cycle time by 20%.

On-time-in-full (OTIF): market overview

OTIF is a key performance indicator (KPI) that gives a clear and distinct update on how a company’s supply chain is functioning. This is a great tool to measure customer satisfaction levels and understand the delivery cycle of any products or services. An effective OTIF strategy helps the organization deliver what the consumer wants and improve its service while lowering overhead costs. Developing capacity planning, sales, procurement, inventory management, and order fulfillment will help companies achieve a higher OTIF measurement. With the help of supply chain analytics, enterprises develop a solution for end-to-end supply chain visibility and identify the areas of optimization to ensure greater OTIF delivery. The team at Quantzig offers analytics based on well researched, granular, labor, and activity standards that allow clients to have an enhanced end-to-end supply chain visibility. The researchers analyze real-time data to achieve high revenue and increase OTIF performance.

By standardizing OTIF across all supply chains, companies can remove all inconsistencies and assess correct information on consumer satisfaction. Maintaining a standard form for calculation will help enterprises measure their performances and formulate strategies to improve their delivery systems. Accuracy in forecasting, maintaining correct inventory levels, monitoring supplier performance, and adhering to schedules will result in higher consumer satisfaction and greater OTIF levels.

Increasing supply chain visibility

Identifying gaps in the entire supply chain cycle, right from manufacturing till customer delivery fulfillment will help optimize OTIF and ensure timely delivery of services. Solutions that are developed by analysis of historical data and investigating the reasons for failure have positive results in achieving better OTIF results.

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Implementing AI and robotics in the supply chain process

Introducing artificial intelligence (AI) and robotics will revolutionize the supply chain network of any organization. These advanced technologies are designed to understand, learn, predict, adapt, and operate one their own. These devices recognize problems and take actions to resolve it on a real-time basis. Introducing robots for delivery services will remove all manual errors and ensure the time of delivery of services. These new age machineries will improve consumer interactions and can take simple decisions to improve the quality of services.

Outcomes and solutions offered  

Quantzig’s supply chain analytics engagement for a leading consumer goods manufacturer and retailer helps them overcome challenges that were affecting OTIF failure. Some of the solutions offered are as follows:

  • Improvement in the OTIF performance from 77% to 93%
  • Create a dashboard to help the client visualize the end-to-end supply chain process and reduce unfulfilled orders by 27%
  • Identify the key factors that are affecting OTIF failure based on weight-of-evidence test and analyze various datasets for inbound, internal, and outbound data
  • Near real-time tracking and data update based on supply chain monitoring
  • Track the product’s journey right from manufacturing, receiving, picking, staging, loading, delivery, till invoicing on a real-time basis

The complete case study on supply chain analytics engagement helps a leading manufacturer reduce their inventory replenishment cycle time by 20% is now available.


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