Demand and capacity planning helped a leading retail company to improve accuracy in demand forecasting by 15%

A U.K based leading retail player wanted to reduce the percentage error in their demand forecasting approach. Due to the inconsistent nature of their existing demand and capacity planning processes, they were not able to manage their inventory stocks and ensure the easy availability of high-demand products.

Demand and capacity planning is an important method that helps companies to monitor and improve their inventory management. The growing popularity of demand and capacity planning can be attributed to its ability to simplify the logistics value chain by integrating smarter demand forecasting and predictive analytics into the process of capacity planning. With obsolete demand forecasting processes, businesses had to rely solely on historic patterns of demand to plan for production needs. But analytics-based capacity planning strategies help businesses to gain better visibility into factors affecting their supply chain and also provides actionable insights relevant to actual scenarios.

Our demand planning solutions help companies to ensure fluidity and efficiency across all touchpoints in the value chain. Request a FREE proposal to gain detailed insights into our portfolio of supply chain analytics solutions.

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Business Challenge

By leveraging Quantzig’s demand and capacity planning solutions, the client wanted to reduce their average percentage error in demand forecasting and improve productivity. Also, they wanted to understand and analyze the demand patterns across various regions. With the help of demand and capacity planning solutions, the client was looking to coordinate their capacity planning efforts in different countries, including rationalizing SKU’s, and consolidating suppliers to enhance their inventory management system.

Through our customized demand and capacity planning solutions, we help leading businesses to improve their forecast accuracy and maximize return on planning efforts. Get in touch with them right away!

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Solution Offered and Value Delivered

The demand and capacity planning experts at Quantzig developed a robust demand and capacity planning framework to understand the core business challenges of the client. The framework included recommendations for capacity management and safety stock optimization. With the help of our demand and capacity planning solutions, the client was successfully able to improve the accuracy in demand forecasting by 15%, while simultaneously improving inventory management. Our multi-step, holistic demand planning approach helped the client to optimize their supply chain operations. Furthermore, the solutions that we offered enabled the client to insert what-if scenarios into their existing supply chain networks to automatically and accurately align operating capacity to demand and ensure optimal throughput, cost containment, and improve capacity management.

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Quantzig’s demand and capacity planning solutions also enabled the client to:

Improve demand forecasting accuracy by 15%
Overcome out-of-stock scenarios
Improve production capacity and inventory management capabilities

Benefits of Demand and Capacity Planning

demand and capacity planning CS

Want to gain detailed insights into factors affecting demand and capacity planning? Read our latest article here:

Top 3 Factors Influencing Demand and Capacity Planning of Businesses

Top 3 Demand Forecasting Challenges Facing the Retail Industry in 2019

In today’s data-centric world retail environment has grown even more complex. With the influx of consumer data, businesses like retail need to have a better mechanism for demand forecasting in order to improve their customer service and stay ahead of the competitors. A good demand forecasting model enables businesses to smartly use their historical data on consumers and help them to plan strategies for future trends. Also, demand forecasting techniques help companies to anticipate when the demand will be high and establish a long-term model that can help in business growth. Retailers with the help of demand forecasting model can eliminate their dependency on instinct and intuition for decision-making. However, demand forecasting seems to be easy but in practice, retail businesses face critical challenges in building a demand forecasting model that can help them to deal with the ballooning complexities in the retail environment. In this article, our retail industry experts have listed out a few challenges that players in the retail industry are poised to witness in 2019.

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Demand Forecasting Challenges

Challenge #1: Using an integrated system to track customers and business

Over a period of time, most retail companies have built out their operations and have deployed systems as they need them. This often means retailers have one system for their enterprise resource planning and another for customer resource management. Though such systems have solved the incremental needs of retail companies, the ongoing digital transformations along with the need to maintain interoperability have proved to be a barrier in two ways for retailers. First, it is resulting in duplication of information in both systems that create a siloed approach and impacts efficiency. Second, with such a system it is difficult to gain actionable insights into unstructured data sets. Lack of unintegrated system makes it difficult for retailers to improve their business operations.

Are you finding it difficult to analyze, monitor, manage, and benchmark your demand and capacity planning strategies? Our demand forecasting solutions can help. Get in touch with our experts right away.

Challenge #2: Applying the correct methodology for strategic decision-making

Retailers are making strategic decisions by setting goals for the company at large rather than for specific regions. Without a focused approach, retailers fail to gain visibility into where growth is expected. Also, such an approach does not help them to identify the regions that outperform in the competitive market and which ones underperformed against easy regional targets. Therefore, having a proper demand management process in place is important for retail businesses to get away with instinct based decision-making.

Challenge #3: Leveraging unstructured datasets to forecast the next step

Today players in the retail industry are struggling to leverage external data or customer profiles effectively. Customer profiles offer detailed insights into what customers want enabling companies to understand demand better. Also, by using external data businesses can improve their accuracy of forecasts by accounting for external forces that were overlooked previously. Building demand forecasting models can make it possible for retail companies to distinctly segment customers and analyze the demands and preferences of target customer segments.

Our demand forecasting solutions can help you create automatic recommendations for the line-of-business to allocate, schedule, plan, and automate processes. Request a FREE proposal now to know more about our portfolio of supply chain services.

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How can Quantzig help you take your demand forecasting to the next level?

Quantzig offers demand forecasting solutions that help businesses to create accurate demand capacity and plans. Our demand forecasting solutions and help companies to boost their forecast accuracy, improve service levels, manage portfolios, and maximize return on demand planning efforts. Quantzig, with its expertise in offering demand planning and forecasting solutions, empowers businesses to discover hidden performance drivers, increase profitability, improve collaboration, validate their business strategies, gain a 360-degree view of demand, and optimize ROI on operational spend.

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3 Steps to Achieve Demand Planning and Forecasting Excellence

Demand Forecasting and Production Planning for a Leading Beverage Manufacturer – A Quantzig Success Story

A well-known beverage manufacturer based out of the United States faced several predicaments due to the use of inaccurate demand forecasting models. The implications of their inaccurate demand forecasting methods resulted in a sharp dip in the revenue generated from the alcoholic beverages segment. This is when they approached Quantzig to leverage its demand forecasting and production planning expertise to improve its existing sales forecasting process and forecast accuracy.

The Business Challenge

Aligning the long-term strategic goals of your organization with performance measures and market demands has never been easy. Trying to aggregate real-time demand and inventory stocks across the entire supply network requires not only a strong analytic platform but also prompt and reliable data that can help organizations to gauge the market demand. Being able to precisely predict or forecast demand across industries, often requires a significant amount of effort and analysis across disparate data sources and forecasting models.

Learn how our demand forecasting models can impact your approach to inventory and production planning. Get in touch with our experts to know more.

Many organizations have aggressive performance goals related to delivery time reliability, demand management, inventory optimization, order fulfillment rate, order cycle time, and inventory turnover but are unable to accurately forecast demand and the factors affecting them. The ability to effectively forecast fluctuations in demand is crucial to the success of an organization. The use of appropriate demand and supply forecasting methods is especially crucial in the food and beverage sector as accurate forecasts lead to faster cash turnover cycles, lower inventory cycles, and quicker response rates. The client a leading alcoholic beverage manufacturer was looking at using demand forecasting models to optimize their production planning process and enhance the demand forecasting accuracy.

Solutions Offered and Value Delivered

Quantzig identified that the inefficiency in the client’s demand forecasting approach was resulting in inventory pile-ups and frequent stock outs for some SKU’s leading to a huge loss in revenue. To help the client address such challenges the experts at Quantzig developed a demand forecasting model to help them better plan their production process. Though the demand forecasting model initially focused on top-selling SKUs’, it was later expanded for another set of SKUs’ for which the client faced similar issues related to demand forecasting.

Detailed analysis and visualization of demand can help your organization achieve higher targets. Learn more about our solutions and stay well-equipped to resolve your inventory issues.

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The demand forecasting solutions also enabled the client to:

Improve prove demand forecasting accuracy across different region-SKU combinations
Visualize the demand, forecasts, and accuracy metrics for different SKU’ through interactive dashboards
Reduce the forecast generation process time by 75%

Demand forecasting

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What is the importance of demand forecasting?

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Weekly Round-Up: A Storyboard on The Importance of Supply Chain Analytics Solutions

LONDON: Quantzig, a leading analytics services provider, has announced the release of their latest storyboard on the importance of supply chain analytics and how it can help businesses in improving supply chain visibility and merchandising capabilities. In today’s competitive business scenario, companies find it difficult to monitor operations in real time and eliminate data silos. This is where supply chain analytics can come to the rescue.

By leveraging supply chain analytics solutions, companies can calibrate their entire supply chain network efficiently. Supply chain analytics can help companies in supply chain management and improve operational efficiency to facilitate quick time-to-market. Additionally, it can enhance the end-to-end performance of the supply chain and boost demand forecasting and logistics operations.

To stay ahead of the curve and create lean operations, supply chain leaders must leverage supply chain analytics solutions to yield the visibility they need into their entire operation.

Quantzig’s analytics solutions have helped many leading companies to make smart and data-driven decisions and boost growth. Below, we have summarized some of Quantzig’s recent success stories for this week and have also highlighted ways in which supply chain analytics can help companies to analyze market demand, the impact of indirect supply chain cost and boost ROI.

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#1. Supply chain analytics reduced distribution cost by about $8M: Identifying supply chain risks and opportunities by combining real-time datasets is a daunting task for businesses. But supply chain analytics solutions can make this task easier by precisely monitoring the performance data of suppliers through analytics dashboards. Also, supply chain analytics solutions can offer detailed insights into inventory and market demand. Furthermore, this can facilitate supply chain optimization and enhance supply chain flexibility.

Leading Sports Brand Leverages Supply Chain Analytics, Identifies Potential Savings Worth Around $8m

#2. What are the benefits of supply chain analytics? Supply chain analytics can help organizations to achieve operational excellence in multiple activities ranging from procurement of raw material to order fulfilment. Also, by leveraging analytics solutions in supply chain companies can enhance their category management practices and consolidate the supplier base to minimize operational costs and improve contract compliance.

Unveiling the True Potential of Supply Chain Analytics

#3. Supply chain analytics minimized inefficiencies in supply chain management: Are obsolete inventory management systems leading to poor business outcomes? No more, as supply chain analytics is here to help you out. Supply chain analytics has the potential to help companies solve several complicated decisions by leveraging millions of decision variables, trade-offs, and restrictions. It can help in identifying the key opportunities to bring about improvements in profit margins. Furthermore, this can assist in optimizing supply chain operations by combining descriptive and prescriptive data sets.

Supply Chain Analytics Solutions for Food and Beverage Companies – A Quantzig Case Study

Customized analytics dashboards can offer a 360-degree view of the supply chain operations. Request a FREE demo below to know more.

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#4. Supply chain analytics eased the interpretation of market trends and enhanced operational efficiency: Catering to the growing demands while focusing on affordability is one of the major concerns for companies across industries. One of Quantzig’s clients faced a similar issue and approached Quantzig to leverage its expertise in offering supply chain analytics to bring about significant improvements in markdown percentages. Quantzig’s supply chain analytics solutions offered unparalleled visibility into the supply chain risks and demand uncertainty by interpreting the market trends in real-time.

Supply Chain Analytics for a Power and Energy Market Client – A Quantzig Case Study

#5. What’s new in supply chain analytics in 2019? Technological progress is becoming very important for companies in every sector. Supply chain management is also witnessing new trends and technologies every day. This makes it important for companies to understand the latest and existing trends to assess the benefits of evolving technologies and prioritize organizational goals. The advent of technologies like IoT and data unification in supply chain analytics has resulted in an accurate forecast of possible complications and better supply chain visibility.

What’s New in Supply Chain Analytics This Year?

#6. Supply chain analytics transformed the existing supply chain strategies and increased savings: Developing efficient supply chain strategies can be a cause of concern for businesses but you need not fear if you have a proper supply chain analytics solutions in place. A leading skincare products manufacturer was facing the same issue but experienced a great change in operations and savings by leveraging Quantzig’s supply chain analytics solutions. These solutions helped them to anticipate customer demand and accordingly regulate their inventory levels. Additionally, it assisted them in identifying top suppliers and in fine-tuning their existing strategies that resulted in increased savings.

Supply Chain Analytics for A Leading Skin Care Products Manufacturer Helps Fine-tune Existing Supply Chain Strategies and Improve Efficiencies

Are you finding it difficult to analyze supply chain data in real-time? Get in touch with our experts.

#7. What is the importance of supply chain analytics in today’s business environment? With the increasing pricing pressures and aggravating customer demands, companies across industries are facing predicaments in enhancing supply chain efficiency and operational speed. Companies need to evolve their supply chain execution systems and tweak their marketing techniques to accommodate the growing customer demands and dynamic market conditions. Supply chain analytics holds the solutions to all of these issues. It allows companies to analyze their supply chain data and identify the efficiency gaps. This, in turn, accelerates sales, speeds-up material movement, and improves supply chain standards.

Supply Chain Analytics: A Game-changer in Boosting Your Supply Chain Efficiency

#8. Supply chain analytics improved demand forecasting capabilities significantly: Do you really think devising an effective demand forecasting model to improve end-to-end supply chain visibility is a myth? If yes, then you must go take a look at Quantzig’s latest success story where one of its clients faced a similar predicament but realized a major improvement in their capabilities to forecast demand through the use of a suitable demand forecasting model. Furthermore, supply chain analytics solutions proved to be extremely helpful in providing end-to-end visibility on supply journey of each product.

Supply Chain Analytics: A Game-changer in Boosting Your Supply Chain Efficiency

#9. What are the key supply chain challenges? The growing complexity of business environment has forced companies to re-shape their business models. Due to such complexities, companies are facing multiple supply chain challenges increasingly complex patterns of consumer expectations and customer demand. Therefore, supply chain analytics has become the need of the hour for companies if they really want to stay ahead in the competition. It can aid companies to identify specific processes and analyze the potential areas of waste or inefficiency.

How Supply Chain Analytics Can Help Solve the Biggest Supply Chain Challenges

#10. Supply chain analytics solutions minimized inventory levels and checked vendor risks: Measuring the supply chain and vendor performance to increase profitability has become one of the major roadblocks for many companies. Are you facing the same problem? Supply chain analytics may hold the key to success. By leveraging analytics solutions in supply chain, companies can optimize their existing route and logistics operations to minimize inventory levels. Additionally, these solutions can help in measuring key vendors’ performance that can further help in mitigating future risks.

Supply Chain Analytics Helps a Leading Processed Foods Retailer Minimize Inventory Levels and Monitor Vendor Risks

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How to Improve Your Profitability and Supply Chain Network with Demand Analysis?

Today’s business environment is highly competitive due to which leading business players find it challenging to sustain profitability and constant growth. With the advancements in technology, life cycles of products and services have shortened, customer demands have aggravated, new competitors have emerged, and new business models have brought in major transformations. This has created constant instability in the market due to which it has become crucial for businesses to analyze the market demand. Wonder how demand analysis can help you tackle these challenges?

For a proper demand analysis, it is important for companies to understand their customers, the buying behaviors and most importantly the capabilities of the company to serve the demand. This understanding can further help in identifying customer needs and market opportunities. Additionally, demand analysis has the potential to help companies in uncovering brand value, supply chain capacity and deal with existing business regulations.

We, at Quantzig, understand the difference that demand analysis and demand management can create for any business. And to help businesses to stay ahead of the competitive curve, our team of experts has come up with a detailed guide on-demand analysis. Also, they have examined the objectives of demand analysis and how it can play a key role in improving the efficiency across the supply chain, business decisions, product pricing, product development, and planning.

To gain a competitive edge in today’s competitive marketplace, it is highly essential to adopt a data-driven approach and analyze market trends through demand forecasting and customer analysis. Wondering where to start? Get in touch with us right now.

What is Demand Analysis?

For any organization, demand is a crucial aspect that defines business success. Demand analysis is the process that helps companies to make better decisions regarding cost allocation, product development, product planning, and production capacity. Thus, the process of demand analysis is important for companies to understand the demand for their products or services in the market and maintain the inventory accordingly. Also, there is a possibility that sometimes production may exceed the demand and demand analysis helps to uncover such instances. Consequently, companies can adopt other ways to create new demand in the market.

What are the Objectives of Demand Analysis?

#1. Forecast market necessity

If you want to know about the kind of product or services needed in the market you are targeting, demand analysis is the approach to follow. With demand and supply analysis, companies can easily identify the products or services performing well in the market and driving maximum value beforehand. However, companies also need to analyze customer behavior and preferences before launching any new product or service.

#2. Sales forecast

Sales estimation forms an integral part of product development and planning. But to forecast sales, demand analysis and demand planning is the approach that helps. Companies can ensure their success if demand analysis of a product or service is done prior to its launch. Also, this can make it easier for companies to decide on the type and quantity of services or products to be launched.

A data-driven approach to demand management can help organizations in inventory optimizations and consolidate supplier base to reduce the cost of operations. Request a FREE proposal to know more!

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#3. Determining price

Price is one of the main factors that affect demand. So, demand analysis is crucial for determining the price of a product or service. Different customers have different requirements. Some prefer luxurious products while others prefer only the products which are necessary. Therefore, it is important for any company to leverage demand and supply analysis prior to determining the price of a product or a service.

#4. Maximize profit

Companies before defining the profit margins for their products or services, need to analyze demand. This helps in ranking them in the order of priority and prevents the interference of government regulations. The categorization of goods and services can be efficiently by following the approach of demand analysis.

#5. Firm size determination

Demand forecasting and analysis help companies to select the right size of a firm for their business. Large size firms have different requirements than small size firms. The former is suitable if there are chances of the demand for a particular product to increase in the future while the small size firms are suitable if you are targeting a niche market. The size of the firm is directly proportional to the demands of the consumers. Therefore, demand analysis is extremely crucial for businesses to make decisions in such cases.

#6. Deciding the success and failure of businesses

Demand analysis is the direct method to analyze the success and failure of any business. Companies to succeed in the competitive marketplace, need to analyze their customers and forecast the customer demand in advance. If any business delivers exactly what is needed by the customers, it is highly likely that it will succeed while the companies that fail to do a proper demand analysis tend to taste the failure.

#7. Financial arrangements

Financial arrangement is important to run any business. So, demand analysis helps in deciding the financial arrangements according to the market demands and customer requirements. Also, this helps in ensuring the liquidity within the organization and facilitates a proper demand management process.

#8. Strategic planning of supply chain

To minimize costs associated with supply chain processes, it is essential that the business strategy synchronizes with a tactical supply chain plan. This can be done by following a proper demand analysis process. Consequently, the company’s profit can be increased, and the value of the shareholder will be enhanced.

Want to know more how demand analysis can make a difference to your business? Request a free DEMO now!

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Benefits of Demand Analysis

Sales forecasting
Demand manipulation
Demand planning
Product improvement
Improve pricing policy
Enhance market share

How can our analytics solutions help?

Global growth of organizations has resulted in complex business operations and reduced supply chain visibility. Consequently, organizations, in order to, overcome stressful global business environment and stay ahead of the curve, need to improve the efficiency of their operations across the supply chain. Our analytics solutions help organizations to deal with these challenges and offer them actionable insights into market trends through proper demand analysis, demand forecasting and demand planning model on real-time dashboards. Also, we offer our clients with the right frameworks to identify key performing metrics in the market which facilitates quicker decision making and better customer service.

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Weekly Round-Up: A Storyboard on The Benefits of Demand Forecasting Analytics

LONDON: Quantzig, a leading analytics services provider, has announced the release of their latest storyboard on the benefits of demand forecasting models and how it can help businesses identify new opportunities for revenue generation and cost reduction. With the growth of organizations globally, operations are becoming increasingly complex, leading to reduced visibility. Consequently, to remain competitive in the immensely aggressive and stressful global environment, there is a need for organizations to increase their operational efficiency across the supply chain.

Demand forecasting models can help companies in enhancing their supply chain visibility, demand forecasting methods, logistics optimization, and consequently enhance overall merchandising capabilities. Also, it can help businesses optimize their networks for improved efficiency and effective supply management.

Are you finding it difficult to have accurate inventory forecasting, achieve operational excellence in several activities, ranging from raw material procurement to order fulfillment? Get in touch with our experts now to know how our analytics solutions can help.

Quantzig’s demand forecasting models have helped more than 55 Fortune 500 companies to make data-driven decisions and tackle supply chain challenges and also offer them insights on people, processes, assets, and the entire value chain to facilitate quicker decisions for global supply chain management. Below, we have rounded up some of Quantzig’s recent success stories for this week and have also highlighted ways in which demand forecasting models have helped companies to predict needs of the customer and develop valuable and effective products and strategic plans to meet them.

#1: Demand forecasting models enabled to recapture 15% of the lost market share and increased revenue by USD 67 million: Accurate forecasting of the inventory and demand is a daunting task. Don’t you agree? One of Quantzig’s clients faced the same problem. They approached Quantzig to leverage its expertise in offering supply chain analytics to identify different KPIs and devise robust demand forecasting models and improve inventory management efficiently. Consequently, our demand forecasting models proved very helpful for the client in gaining back 15% of lost share market in 10 months and increased revenue by USD 67 million.

Demand forecasting and inventory management delivers USD 67 million in revenues for switchgear manufacturer

#2: Insider tips to improve demand forecasting methods unveiled: Players in almost every industry are often posed with tough questions like how much of certain products or services to stock, which brand will perform the best, what is going to be the busiest time of the year. There are a few things that are easier to predict while some are very difficult. This is where demand forecasting models help. Therefore, it is advisable for businesses to use demand forecasting models to improve their business operations. You must go through some of the most useful insider tips to enhance your demand forecasting methods.

Insider Tips to Improve Your Demand Forecasting

#3: Demand forecasting models boosted service levels by 25%: This is one of the most significant success stories of Quantzig, where the client managed to determine their lead times and stock replenishment levels. This boosted their service levels by 25%. Moreover, demand forecasting models also helped the company to manage demand planning and levels and improve the overall customer service and experience.

25% improved service levels achieved by leading consumer goods manufacturer through demand forecasting and inventory management model implementation

#4: Demand forecasting models enhanced demand forecast accuracy by over 90%: Is the inability to meet the demand jeopardizing your company’s market position? If yes, then you must be going wrong somewhere in forecasting the demand of your customers which is very crucial to improve the efficiency of your operation and ROI. This is evident in Quantzig’s latest success story, where demand forecasting models helped the client to gain high accuracy in supply and demand predictions over time.

#5: Demand forecasting models optimized cash flow and minimized inventory costs: Quantzig’s demand forecasting models helped the client to align sales and marketing efforts to lower holding costs and increase turnover rates. Additionally, the unique demand planning and demand forecasting methods helped in optimizing inventory and foresee market trends effectively. Furthermore, the effective demand forecasting methods proved to be very helpful in predicting customer demands and save on warehouse and transportation costs.

Minimizing Inventory Costs and Optimizing Cash Flow for a Retail Industry Client – Quantzig’s Demand Forecasting Engagement

Are you wondering how to establish an effective demand management process, improve order fulfillment ratios, and boost operational efficiency to facilitate quick time-to-market? Request a free now!

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#6: Demand forecasting models facilitated end-to-end visibility on supply chain journey: Improving end-to-end supply chain visibility and achieving high customer satisfaction during order fulfillment may sound scary. But you need not fear if you have effective demand forecasting models in place. A leading firm in the distilled spirits manufacturing sector was dealing with the same issue but experienced a great change in the demand and supply chain by leveraging Quantzig’s demand forecasting models. These models helped them to identify the areas of optimization to ensure greater product delivery and re-strategize their sourcing locations by examining the effect of supplier location and transit times on the design-to-market time of a product.

Supply Chain Analytics Helps A Distilled Spirits Manufacturing Major Improved Their Demand Forecasting Efficiency

#7: Demand forecasting models augmented conversion rates significantly: Are you wondering how to develop a hybrid supply and demand forecasting strategy to precisely predict demand? Demand forecasting models can help as it helped one of Quantzig’s clients. Demand forecasting models have the potential to enhance customer knowledge resulting in increased conversion rates. Additionally, these models are beneficial in inventory forecasting, predicting closed-loop marketing outcomes leading to better demand management.

Quantzig’s Supply and Demand Forecasting Engagement Helped a Renowned Pharmaceutical Industry Client Precisely Predict the Demand for Pharmaceutical Products in the Australian Market

#8: Leveraging demand forecasting models to boost profit margins: Do you really think developing demand forecasting models is a mystery? If yes, then you must go through our latest success story where Quantzig’s demand forecasting models boosted the client’s profit margins significantly. With demand forecasting models, it is easy to become customer-centric through tailored services. Furthermore, proper demand planning and demand management are very helpful when it comes to critical decision making by harnessing consumer demand.

#9: What are the most important steps to successful demand forecasting? Demand forecasting methods are the keys to estimate the probable demand in the future for a product or a service accurately. These methods can be very effective and helpful for organizations in managing risk, dealing with competitors and government laws. But to get optimum results from your demand forecasting techniques, it is important that you follow a few important steps.

Four Vital Steps to Successful Demand Forecasting

#10: Demand forecasting models revamped forecast ability by 80%: Are you too facing the challenges by the regulatory laws, dynamic nature of customer expectations, market dynamics, and the ongoing technological advancements? If yes, then you are not alone as every industry player today facing the same issue. But demand forecasting models may hold the key to success. These models can evaluate the forecasting methods adopted by the peers and implement the best forecasting technique to avoid adverse impacts on their bottom line.

Demand Forecasting Helps a Healthcare Logistics Company Enhance their Demand Forecasting Ability by 80% – A Supply Chain Analytics Case Study by Quantzig

We understand the challenges companies face in demand management, network optimization, and inventory optimization. Our analytics solutions provide best-in-class frameworks to analyze spend data, improve category management practices, and consolidate the supplier base to increase contract compliance and reduce operational costs. Request a free demo to gain more insights.

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Minimizing Inventory Costs and Optimizing Cash Flow for a Retail Industry Client – Quantzig’s Demand Forecasting Engagement

Demand Forecasting Techniques – Why is it Important?

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Four Vital Steps to Successful Demand Forecasting

What is demand forecasting?

Organizations are likely to face several internal and external risks including high competition, failure of technology, labor unrest, inflation, recession, and change in government laws. The adverse effects of risk can be reduced by determining the future demand or sales prospects of their offerings. Demand forecasting is a technique used to estimate the probable demand in the future for a product or service. It can also be defined as a systematic process that involves anticipating the future demand for the product and services offered by a company under a set of uncontrollable and competitive forces.

Steps in demand forecasting

Prepare the data

The accuracy of forecasting largely depends on the data collected. Managers usually gather specific transactions that they must at a higher level to get a picture of meaningful sales activities and trends. In this process, they are required to create a number of dimensions for study. With the help of a data warehouse or database can support multiple types of aggregations and enable flexible analysis across dimensions instantly. In the case of demand forecasting, a higher level of aggregation means more accuracy in the forecast.

Measure data accuracy and coverage

Analyzing sales history is one of the most common and best methods that aid in demand forecasting. There are dozens of methods at disposal to analyze sales history, this includes the simple moving averages to advanced regression methods. They can be used to measure trends, seasonality, and cyclic characteristics of the company’s data. Prior to deciding on the ideal method, managers must establish whether the sales history is the same as demand for their product and services. They must also analyze stock out situations and accommodate this while predicting future demand.

Most businesses encounter stock out situations. However, in several cases, the demand is fulfilled through alternate channels such as an expedited order from a different geographic location. Though this results in customer delight, in the bigger picture this creates a chaos in the company’s demand forecasting efforts. This is because, during data collection, such exceptional cases cannot be easily tracked. Consider another situation where customer opts for a substitute product as their preferred product is out of stock. This distorts the demand estimate, potentially driving down inventory for the stockout product and driving up inventory for a substitute product. Though stock-outs can result in glitches in the demand forecasting process, this can be resolved to a large extent by correctly recording the place, time and item where the transaction actually occurred, along with availability.

Manage spikes in data

Occasional spikes often occur in the case of most businesses. While in some cases they reflect the real sales sometimes it could also be data errors. These spikes tend to pull the demand distribution in their direction, consequently skewing the inventory planning. To stay out of such situations, spikes should be researched separately in order to better understand what caused them and whether they are recurring or one-time events. It is ideally advised to avoid eliminate the spikes from demand forecasting estimates and replace the data points with a more typical observation such as the average volume for the previous and subsequent time periods.

Know more about Quantzig’ s demand forecasting solutions for business

Leveraging Demand Forecasting Accuracy with the Help of Analytics – A Case Study on the Farm Equipment Manufacturing Sector

Top Three Demand Forecasting Methods

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Tag: Demand forecasting

Demand and capacity planning helped a leading retail company to improve accuracy in demand forecasting by 15%

Solution Offered and Value Delivered

Benefits of Demand and Capacity Planning

Top 3 Demand Forecasting Challenges Facing the Retail Industry in 2019

Demand Forecasting Challenges

Challenge #1: Using an integrated system to track customers and business

Challenge #2: Applying the correct methodology for strategic decision-making

Challenge #3: Leveraging unstructured datasets to forecast the next step

How can Quantzig help you take your demand forecasting to the next level?

3 Steps to Achieve Demand Planning and Forecasting Excellence

Demand Forecasting and Production Planning for a Leading Beverage Manufacturer – A Quantzig Success Story

The Business Challenge

Solutions Offered and Value Delivered

What is the importance of demand forecasting?

Weekly Round-Up: A Storyboard on The Importance of Supply Chain Analytics Solutions

How to Improve Your Profitability and Supply Chain Network with Demand Analysis?

What is Demand Analysis?

What are the Objectives of Demand Analysis?

Benefits of Demand Analysis

Weekly Round-Up: A Storyboard on The Benefits of Demand Forecasting Analytics

Minimizing Inventory Costs and Optimizing Cash Flow for a Retail Industry Client – Quantzig’s Demand Forecasting Engagement

Demand Forecasting Techniques – Why is it Important?

Four Vital Steps to Successful Demand Forecasting

What is demand forecasting?

Steps in demand forecasting

Prepare the data

Measure data accuracy and coverage

Manage spikes in data

Leveraging Demand Forecasting Accuracy with the Help of Analytics – A Case Study on the Farm Equipment Manufacturing Sector

Top Three Demand Forecasting Methods

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