Business policies utilize predictive analytics and regression analysis to manage inventory effectively, avoiding excesses and shortages while optimizing costs and responsiveness. The implementation of these policies involves advanced statistical methods and technologies to enhance accuracy, reduce errors, and adapt to market changes, thereby maintaining operational efficiency and competitiveness.
Check out industry best practices below on how to optimize your inventory to cut costs, meet demand, and streamline your supply chain.
6 Essential Steps to Better Recovery Planning
As we approach the midpoint in 2013, there is still a lot of economic uncertainty complicating your supply chain planning processes. Some look at this shaky economy and postpone needed investments that can position their organizations for a strong future.
Recommended Reading: Excellence in Demand Planning
In a recent post at SupplyChainBrain, Robert Bowman takes a look at excellence in demand planning. Focusing on admirable qualities and techniques, it should be an interesting read for any demand planner seeking to improve his or her craft.
Heroes of Disruptive Innovation
The executive suites at most companies are populated by leaders who became corporate “heroes.” These exceptional performers led—and continue to lead—transformative initiatives that drive revenue growth, reduce costs and increase shareholder value.
Lessons From Superstorm Sandy
The destructive impact of Hurricane Sandy has been both staggering and instructive. Our thoughts and best wishes for rapid recovery go out to all who have suffered personal or economic loss or damage. Now, in Sandy’s aftermath, we find ourselves thinking about accelerating recovery and planning for the next unforeseen event.
Saving Billions? How Far the ‘Center for Innovation in Logistics Systems’ Might Take the US Army
For over two decades, the General Accounting Office (GAO) has indicated that the Defense Department’s logistics management has been ineffective and wasteful, and that the Services lack strategic plans to improve overall inventory management and supply chain performance.
Problem
What is my inventory position today, on any item? Where are we stocking out and how often? What are my delivery times? Why did we ship late? Do we have too much inventory in one location, not enough in another? What are my real supplier lead times? These are obvious, daily questions, and the answers can reveal underlying root causes that when resolved will improve supply chain performance. But these answers are elusive, often because data is locked up in your ERP and only accessible via limited reporting views or spreadsheets. Creating these reports manually using Excel requires data imports, reformatting, and distribution to key stakeholders, wasting countless hours of valuable planning time. This means that getting updated information, when you need it, is not always possible. Not having access to these answers means that problems reveal themselves only after it is too late, and opportunities for improving the inventory planning process are overlooked, further contributing to poor performance.
Solution
Smart Operational Analytics (SOA™) is a native web reporting solution available on Smart’s Inventory Planning and Optimization Platform, Smart IP&O. It provides a fast, easily understood, current perspective on the state of your inventory, its performance against critical metrics, actual supplier lead times, opportunities to rebalance stocks across facilities, and helps you uncover root causes of operational inefficiencies. SOA automatically refreshes as often as you’d like providing all stakeholders immediate, up-to-date reporting on your operations and performance. You’ll have constant visibility of inventory levels, orders, shipments, and supplier performance to ensure you’ll always be in tune with the state of your operations and resolve issues before they become problems. Enhance visibility. Improve responsiveness. Increase your bottom line.
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Smart Operational Analytics
Inventory Analytics
Quantify inventory value
Inventory segmentation
Inventory classification
Trend metrics over time
Operational Performance
Measure service level performance
Measure fill rate performance
Calculate turns, holding & ordering costs
Trend metrics over time
Supplier Insights
Measure supplier performance
Compare supplier lead times
Rank suppliers across available metrics
Trend metrics over time
Who is Operational Analytics for?
Smart Operational Analytics is for executives, planners, and operations professionals who seek to:
- Measure inventory costs and performance in real time.
- Assess and compare Supplier performance.
- Identify root causes of stockouts, excess inventory, and late deliveries.
- share KPI’s such as service levels, turns, costs, and more across the organization.
What questions can Operational Analytics answer?
- What does my inventory look like? By value, count, classification?
- Is my inventory trending up, down, or the same?
- How much of my inventory is overstocked, understocked, or acceptable?
- Can inventory be transferred from overstocked locations to under stocked locations?
- Can existing supplier orders be cancelled or deferred?
- What are my current turns, service levels, and fill rates and how do they trend over time?
- How many out of stock events occurred this week, this month, this quarter?
- How are my suppliers performing, how do they compare?
- What is my supplier lead time and how has it changed over time?
Inventory and supplier reporting for your enterprise
Smart Operational Analytics empowers you to:
- Benchmark service performance and inventory costs.
- Benchmark supplier performance.
- Assess and Classify Inventory by class, stage, and more.
- Share metrics with the organization.