Warehousing and Distribution
Article | July 11, 2023
You might be wondering what the benefits are of benchmarking. Well, imagine you are training for a 100 metre sprint in your district. What would be the key number, or metric that you would need to know?
It would, of course, be what the winning time was when this race was last run in your district. Without that information, you don’t know what you’re trying to target. It would be impossible to know if you’ll have any chance at all of winning the race.
It’s exactly the same in business. If, for example, you are concerned about the pick rates in your warehouse, or your transport costs, or your inventory accuracy, benchmarking can help you because it can show you exactly where your performance is compared to others in your industry.
A few years ago, I was working with an automotive parts business. They had a little issue with their picking productivity in the warehouse. They wondered how good it was, whether they could improve it. They actually thought it was okay.
We looked at the figures and compared them with other businesses. This helped us realise that their picking productivity should be three times better than it was. And believe it or not, over a few months they did begin to improve their productivity.
Why? Because benchmarking opened their eyes to the fact that they were at a level quite far below others in the industry.
That’s the beauty of benchmarking. Until you know what others are doing, you can’t be sure how good your performance is.
If you’ve never tried benchmarking, there are three ways you could do it.
1. Informal Benchmarking
This exercise would involve you measuring particular functions or aspects of your business and comparing that against other parts of your business. Let’s say you have a warehouse operating in one city and another operating in another city. You might start to measure the same metrics and see which one is performing better.
You might know other people in the industry who are also operating warehouses so you might agree to share some data with them.
This is probably the easiest way to start off, but it has some downsides:
You’re only measuring against a very small sample size. If all of you in the pool are not that good, how would you know what good is?
You have to make sure that the businesses are similar and you are measuring things in exactly the same way. It’s very important in benchmarking to have a standard way of applying the metric.
2. Formal Benchmarking
This can work for much larger businesses. Perhaps you have operations in many different countries. You could agree a formal structure for how you are going to measure performance. You could do monthly or quarterly benchmarks with all the parts of your international organisation. You could learn from each other and share best practice.
This method is okay but you’re not getting access to a very large pool of results to measure yourself against. You will find that companies are very reluctant to give out benchmarking data. You might also be operating in an environment where the performance is quite low right across the business.
3. Hire a Professional Benchmarking Firm
This is the ultimate way to do it, although there are not a lot of professional benchmarking firms such as ours around. If you do manage to find one, you will quickly realise that there are significant benefits to be had by bringing in the professionals:
The metrics are put together in exactly the same way: When we do a benchmarking exercise for our consulting clients, we go through a very robust data-gathering process and then make sure all the costs, for example, are in the same buckets as everyone else’s in the database.
You gain access to a big pool of results: Professionals have measured hundreds, if not thousands, of companies. This enables you to say, ‘Our company is this size, it operates in this industry, these are the characteristics of our supply chain, who else in that pool of results is like us? We want to be measured against them.”
It’s no good measuring the performance of a grocery retailer, for example, against an industrial product supplier. They have different supply chains. You need to be measuring like with like.
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Supply Chain
Article | May 22, 2023
Efficient demand forecasting techniques transform supply chain management, help optimize inventory levels, streamline operations, improve customer satisfaction, and achieve a competitive edge.
Contents
1. How Accurate Demand Forecasting Impacts Business Operations and Profitability?
2. Navigating the Pitfalls of Traditional Demand Forecasting
2.1 Limitations of Manual Forecasting Methods
2.2 Inaccuracy and Inconsistency in Demand Prediction
2.3 Multiple Products and Markets Challenges
2.4 Influence of External Factors on Demand Forecasting
3. Advanced Demand Forecasting Techniques for Supply Chain Management
3.1 Statistical Forecasting
3.2 Collaborative Demand Planning
3.3 Demand Sensing and Real-time Data Analytics
3.4 Agile Supply Chain Management Practices
4 Summing up
1. How Accurate Demand Forecasting Impacts Business Operations and Profitability?
Accurate demand forecasting plays a vital role in determining the operations and profitability of a business. By anticipating future demand, companies can more effectively plan their production, inventory management, and supply chain activities to meet customer needs while minimizing costs.
Additionally, accurate demand forecasting can aid businesses in enhancing customer satisfaction by proactively meeting customer needs and expectations, improving customer experiences and increasing customer loyalty. To generate actionable insights that drive informed decision-making, businesses must leverage advanced analytics and predictive modeling techniques that combine data from various sources with industry-specific knowledge and expertise.
“Businesses that leverage advanced analytics and predictive modeling techniques for demand forecasting report an average of 5% improvement in their supply chain efficiency.”
(Source: A survey by Deloitte)
Supply chain businesses frequently rely on sales data from the past, which may not be sufficient in the complex and rapidly changing business environment. Businesses might not observe an improvement in operations and profitability if they rely solely on conventional methods.
2. Navigating the Pitfalls of Traditional Demand Forecasting
As businesses strive to optimize their supply chain operations and meet customer demand, traditional demand forecasting methods can often hinder their efforts. In this context, it is essential to navigate the pitfalls of such techniques to achieve success in supply chain management.
2.1 Limitations of Manual Forecasting Methods
Manual forecasting methods have limitations that can affect demand forecasting accuracy in supply chain management. Frequently based on historical data, these methods can overlook emerging trends in supply chain management and alterations in customer behavior. In addition, manual processes are time-consuming, prone to error, and incapable of incorporating real-time supply chain data. As a result, businesses struggle to optimize supply chain operations and meet customer demand.
In addition, traditional forecasting methods can influence the ability to accurately predict demand, resulting in overstocked inventory, delivery delays, and, ultimately, poor customer satisfaction. Inaccurate demand forecasts can also result in poor purchasing decisions and increased carrying costs, negatively impacting profitability.
2.2 Inaccuracy and Inconsistency in Demand Prediction
Inaccuracy and inconsistency in demand forecasting pose significant obstacles in managing the supply chain. This is the case in the dynamic business environment, where market conditions can change rapidly, making it challenging for companies to keep up with shifting demand patterns. As traditional demand forecasting methods depend heavily on historical data, they produce inaccurate forecasts that do not reflect real-time market changes.
In addition, inconsistency in demand forecasting can also result in a mismatch between supply and demand, leading to missed opportunities or excess inventory. As a result, creating an effect on company’s bottom line in addition to customer satisfaction.
2.3 Multiple Products and Markets Challenges
Accurate demand forecasting is crucial to the success of supply chain management. When there are multiple products and markets to manage, it becomes a challenge for traditional demand forecasting. Different products and markets may have varying demand patterns and drivers, making it difficult for businesses to accurately forecast demand.
Manual processes and siloed data can hinder visibility and the ability to identify cross-product or cross-market trends, making supply chain optimization operations and meeting customer demand more complex. Managing multiple products and markets is one of the challenges of traditional demand forecasting when businesses operate in various markets with varying customer preferences and demand patterns for products.
2.4 Influence of External Factors on Demand Forecasting
External factors can significantly impact the demand forecasting accuracy for supply chain optimization. These factors are often unpredictable, and conventional methods may not account for them. The external factors affecting the supply chain include natural disasters, economic recessions, and sudden changes in consumer behavior.
In addition, political and regulatory modifications, such as tariffs or trade agreements, can affect the supply and demand of particular products. Therefore, businesses must incorporate these external factors into their demand forecasting models and advance the process, as traditional demand forecasting methods cannot predict accurate future demand patterns and ensure optimal supply chain operations.
3. Advanced Demand Forecasting Techniques for Supply Chain Management
To avoid the above-mentioned pitfalls, companies need to adopt advanced demand forecasting techniques that enable capturing and analyzing huge data from various sources to generate accurate and real-time demand forecasts.
3.1 Statistical Forecasting
Statistical forecasting is an advanced method for demand forecasting in supply chain management that utilizes complex algorithms and statistical models to analyze historical data, identify trends, and generate forecasts. This method employs numerous statistical techniques, including regression analysis, time-series analysis, and exponential smoothing, among others.
Statistical forecasting can help businesses overcome some of the limitations of traditional manual forecasting methods because it is more objective, data-driven, and capable of identifying trends and patterns which are not apparent with manual forecasting methods. As a result, by utilizing statistical forecasting, businesses can increase demand forecasting accuracy, optimize inventory management, and better align supply and demand, resulting in enhanced customer satisfaction, greater efficiency, and lower costs.
3.2 Collaborative Demand Planning
Collaborative Demand Planning combines intensive forecasting algorithms to predict future demand and a set of ML techniques to achieve better demand forecasting. It involves collaboration between suppliers, customers, and other stakeholders. The advanced data and insights sharing technique improve the comprehensive understanding of demand drivers and trends, leading to more accurate demand forecasting. The collaborative approach enables real-time adjustments to demand forecasts, which can help businesses respond promptly to market conditions and customer demand changes.
In addition, using advanced analytics and machine learning algorithms can help identify patterns and trends that would otherwise go unnoticed. That enables businesses to optimize inventory levels, reduce under and overstocking, and enhance customer service levels. In the dynamic business environment, it helps transform the supply chain that is better equipped to meet the ever-changing demands of customers.
3.3 Demand Sensing and Real-time Data Analytics
Demand Sensing and Real-time Data Analytics are advanced demand forecasting techniques that can assist businesses in overcoming the challenges that multiple products and markets pose to the supply chain. By utilizing real-time data from various sources, such as social media, point-of-sale systems, and weather reports, businesses can better understand customer demand patterns, adjust inventory and production planning, reduce delay, and increase responsiveness.
In addition to implementing demand sensing, businesses can begin with sell-in data obtained from supply chain planning or an ERP system in supply chain management and then incorporate all relevant data sources and external factors to broaden the forecasting horizon.
3.4 Agile Supply Chain Management Practices
Agile supply chain management practices are a collection of methodologies and strategies emphasizing supply chain operations' adaptability, responsiveness, and flexibility. These practices involve utilizing real-time data analytics, collaborative planning, and other advanced technologies to enable businesses to respond swiftly to changes in customer demand, market conditions, and other external factors.
Adopting an agile model allows the organization to act swiftly and decisively and achieve successful business outcomes despite adverse conditions. Agile supply chain management practices can give companies greater visibility and control over their supply chains, enabling them to adapt more effectively and efficiently to fluctuating market conditions in the context of external factors influencing demand forecasting. By cultivating a culture of continuous improvement, innovation, and customer value, agile supply chain management practices have the potential to transform into modern supply chain.
4. Summing up
Demand forecasting accuracy is crucial for supply chain management and profitability. Manual forecasting methods hinder operational optimization and customer demand fulfillment. Customer satisfaction, purchasing decisions, and carrying costs suffer from inaccurate forecasting. In order to avoid these pitfalls, businesses can leverage statistical forecasting and collaborative demand. These methods recognize trends and patterns, optimize inventory levels, reduce over- and under-stocking, and improve customer service using advanced analytics and machine learning algorithms.
As the supply chain evolves and becomes more complex, businesses must adopt advanced demand forecasting techniques. Implementing these techniques will enable businesses to optimize their supply chain management by better-aligning supply and demand, resulting in increased productivity, decreased costs, and ultimately increased profits.
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Management
Article | June 21, 2023
Contents
1. Accessing The State and Federal Benefits
2. A Learning Portal to Educate Rural Communities On EV Charging
3. The Significance of an Equitably Relevant EV Charging Network
Electric Vehicles (EVs) are making waves in cities and are more than just the latest trend in transportation. With the advancement of the EV charging network and its deployment across urban areas, experts are asking what’s next and how this growth can be replicated in rural areas.
1. Accessing State and Federal Benefits
Based in Oregon, Forth is an EV research and advocacy group that recently announced a partnership with General Motors to build grant templates that can help rural communities win and access state and federal grant money to build EV charging networks. The templates will be provided free of charge and cover 80% of a complete grant. Geoff Gibson, the senior program manager for Forth, believes this will give rural communities the impetus to seek out the grant money and get over the initial hurdle of framing a grant proposal.
2. A Learning Portal to Educate Rural Communities on EV Charging
Forth also announced the slated launch of a learning portal that will address the lack of know-how on deploying a charging program for EVs. The portal will empower communities with not just the knowledge of implementing charging programs but also their significance and long-term impact on the community. The learning portal will tentatively go live in 2023 and will be free for local communities, counties, cities, and states, as well as community organizations. The program will be accessible for a year and could be further extended.
According to Steve Lommele from the Joint Office of Energy and Transportation, he reiterated the importance of building a national EV charging network. He states that this is the first time a major program has been put in place that covers all 50 states in the U.S., including Puerto Rico and Washington D.C.
3. The Significance of an Equitably Relevant EV Charging Network
Deploying EV charging stations in rural areas has to be meaningful for the communities that will be using them. Forth’s Geoff Gibson emphasizes that the needs of the communities need to be given priority when designing the charging network. For instance, DC charging or charging that is publicly accessible should be preferred at trailheads.
EVs as part of our transport in the future is inevitable and charging networks and program need to be prioritized to ensure all communities are able to access its benefits equally.
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Management
Article | June 21, 2023
Enhance operational efficiency by implementing industry-approved methods for multi-channel inventory management. Taking a holistic approach to control inventory helps multiple sales channels grow.
Multi-channel inventory management is a crucial aspect of the supply chain process that ensures the goods are available to customers through different sales channels. However, with growing penetration of ecommerce technologies and the increasing complexity of supply chain networks, managing inventory across multiple channels has become daunting for businesses. The ability to accurately track inventory levels, ensure stock availability across channels, and optimize fulfillment processes has become critical to achieve success in today's competitive business landscape.
Managing inventory across multiple channels require real-time visibility and tracking of inventory levels which further streamlines the complex process. Inaccurate inventory data can lead to stockouts, overstocking, and lost sales, negatively impacting the business's bottom line. To combat these challenges, businesses must implement a robust multi-channel inventory management system to track inventory across all channels, synchronize stock levels, and automate order fulfillment processes.
An inventory management system can offer businesses a consolidated view of inventory at various locations, such as warehouses, stores, and even online channels. An organized approach is crucial while managing multi-channel inventory or keeping track of moving inventory. Implementing an effective inventory management procedure, managing multi-channel inventory becomes more streamlined and simplified, as well as provides a comprehensive overview.
In addition, as businesses continue to expand their sales channels, multi-channel inventory management has become a vital component of supply chain management. By adopting best practices in multi-channel inventory management, businesses can ensure on-demand access, accurate inventory data, and seamless order fulfilment processes. Additionally, implementing the right procedures will allow organizations to observe an increase in customer satisfaction and experience significant business growth.
The article takes an in-depth look at key benefits, potential challenges, procedural considerations, and the significance of multi-channel inventory management. It delves into the impact of this approach on supply chain performance while providing valuable insights into best practices.
1. Centralize Inventory Management Process
Centralizing multi-channel inventory helps manage supply chain businesses across various channels and locations. Businesses can gain better visibility and control over their inventory processes by consolidating inventory data. However, centralizing inventory management is not without its challenges. One of the major obstacles faced by organizations is ensuring the accuracy and consistency of data across different locations and channels.
Another barrier is integrating various inventory management tools and technologies into a single system. Despite these challenges, centralizing inventory management offers significant benefits, including improved efficiency and reduced costs. In addition, businesses can leverage cloud-based inventory management software and standard operating procedures to centralize and optimize inventory management processes effectively.
2. Adopt Lean Inventory Management Approach
The lean inventory management approach is adequate for managing multi-channel inventory in supply chain businesses. This approach involves reducing excess inventory and only stocking items in demand. While implementation of the approach is complex due to the need for accurate demand forecasting and inventory tracking, it offers multiple advantages, such as reduced inventory carrying costs, improved cash flow, and increased customer satisfaction. To implement a lean inventory management approach in the supply chain business, follow these steps:
Conduct inventory analysis
Categorize items based on value and demand
Implement just-in-time (JIT) replenishment
Leverage forecasting tools
Establish cycle counting and monitoring procedures
Strive for continuous process improvement
This approach helps businesses achieve better inventory accuracy, increase operational agility, and meet customer demands across multiple channels.
3. Utilize ABC Inventory Analysis
ABC inventory analysis is a widely used best practice for multi-channel inventory management in the supply chain. This method categorizes inventory based on its level of importance to the business. ABC inventory analysis categorizes goods into A, B, and C categories based on their impact on overall inventory cost. Category A consists of the most valuable products, category B includes items that fall in between, and category C covers small transactions that are vital for overall profit but have less individual impact. Supply chain businesses can prioritize their resources and make informed decisions by focusing on high-value inventory.
However, implementing this method can be challenging, especially when dealing with extensive inventory data. To successfully address challenges associated with implementing ABC inventory analysis for multi-channel inventory management, businesses must focus on accurate data classification, utilization of advanced analytics tools, and fostering effective team collaboration.
4. Optimize Order Management Process
Optimizing order management involves automating and streamlining order fulfilment for efficient and accurate processing across sales channels. The process ensures optimal inventory control, minimizes fulfilment time, and enhances customer satisfaction, providing a competitive advantage. Aligning inventory levels with actual demand prevents overstocking and reduces holding costs. Additionally, businesses can efficiently allocate inventory from various sources to fulfil orders, reducing the need for excess storage and transportation. The optimization is achieved by adopting automation, system integration, and data analysis. In addition, comprehensive multi-channel order management system offers multiple benefits, including native e-commerce integrations, flexible order fulfilment options, multi-location inventory management, integrated POS capabilities, data-driven inventory planning, and workflow automation, among others.
5. Integrate Sales Channels
Integrating sales channels provides businesses with a unified view of inventory, sales, and customer data, enabling informed decision-making based on real-time information. It helps accurately track products across channels as well as adjust inventory levels based on individual selling rates. The process involves synchronizing channels through a centralized system, ensuring seamless data flow and consistent product information. It includes setting up API integrations, mapping inventory, and conducting thorough testing for smooth order processing. To implement the integration, businesses must utilize technology solutions like inventory management software and enterprise resource planning (ERP) systems. Additionally, it establishes clear communication channels among teams managing different sales channels.
6. Set Cross-Channel Metrics
Cross-channel metrics measure and analyze each sales channel's performance, including online & offline sales, and identify areas for improvement. To set cross-channel metrics for multi-channel inventory, businesses must identify relevant metrics, establish benchmarks, and regularly monitor and evaluate performance. Implementing cross-channel metrics allows businesses to make data-driven decisions based on actual performance rather than relying on assumptions or incomplete data. In addition, supply chain businesses can leverage technology solutions, such as cloud-based inventory management software, to manage and consolidate their data sources effectively. Enforcing cross-channel metrics in multi-channel inventory management helps overcome several challenges, such as lack of visibility across sales channels, difficulty in identifying slow-moving products, and inefficiencies in resource allocation.
7. Automate Supply chain
Automating the supply chain and implementing advanced software systems helps businesses to optimize supply chain processes. Automation reduces manual errors, enhances efficiency, and improves overall productivity. It enables real-time inventory tracking, seamless order processing, and accurate demand forecasting. Businesses can easily overcome manual inefficiencies, bottlenecks, and data discrepancies by automating the supply chain process. The process includes integration of automation tools like inventory management software, order management systems, and warehouse management systems. The systems integrate with sales channels, suppliers, and logistics partners to automate order processing, inventory tracking, and shipment management tasks. Ultimately, businesses achieve better inventory control, faster order fulfilment, and increased customer satisfaction by automating supply chain operations.
Final Thoughts
As the supply chain market evolves, businesses must adopt innovative approaches for multi-channel inventory management. Incorporating additional sales channels into conventional brick-and-mortar operations presents a valuable opportunity to expand customer reach, boost sales, and enhance the overall customer experience. To effectively implement multi-channel sales and inventory management within a retail organization, acquiring a robust retail management system capable of efficiently monitoring inventory levels and facilitating business growth becomes essential. The adoption of an effective system can assist businesses to ensure seamless inventory control and propel sustained success in the competitive market.
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