eng
About   |   Newsletter
Demand & Supply Chain Management Evolution




12 Feb 2019
Forecasting…what’s the secret?

Slimstock
Slimstock

Which forecasting technique will produce the most appropriate forecast results for a given demand profile? Deciding the right balance and assortment of stock-keeping units across multiple warehouses can be a bewildering task. Regularly monitoring and forecasting the correct level of inventory across tens of thousands, or even hundreds of thousands of items without the right tool is enough to make even the best of supply managers capitulate.

 

Demand Classification

Demand Classification is a systematic, logically founded method of ascertaining and clustering the characteristics of sales history into groups, before applying the most appropriate forecasting techniques automatically. Classification enables a significant improvement in forecast accuracy with less effort and light-years ahead of the traditional ‘pick best’ approach.

New, in-life, seasonal, and end of life products must be all treated differently, and most demand patterns change. New products may move from a growth phase into the mainstream, lose their upward trend and become more stable. Others may exhibit stable demand patterns and begin to trend downward toward the end of a product’s lifecycle. Along with sales velocity, frequency, and magnitude, demand can be different in every case. Planners quickly begin recognising the daunting task of just knowing where to start, followed by where to focus their priorities. Not only are forecast accuracy goals negatively impacted by their follow-on action and decision, but downstream activities can be adversely affected too. Very quickly inventory and replenishment planning begins to suffer and an extremely costly situation ensues.

 

Fitting a forecast

forecast

With so many planning decisions pending a forecast, many practitioners have been tempted to rely on their computer system to select, for them, the best prediction model from a wide range of techniques. Compared to more scientific approaches, this might only be a little more advanced than the random movements of a laboratory rat seeking to exit a maze. The forecast models in a pick best approach can produce wildly divergent results. Different samples of history will influence predictions, and performance is often negatively impacted by significant fluctuations in the data. The technique usually creates endless hours of model tweaking and data manipulations to gain only slightly less confidence in the forecasting. Fitting a forecast based on how tightly it fits the past, does not guarantee a better alignment to the future. It’s very often the root-cause of knee-jerk planning.

A more rational approach to the problem is to include statistical recognition of different types of demand before precisely applying the right technique. Failure to recognise the differences in demand characteristics can result in the application of inappropriate planning techniques and create undesired fallout like excess inventory, wild swings in replenishment plans, late promotional deliveries, and more frequent stock-outs. Slimstock’s Slim4 Inventory Optimisation software automatically recognises what stage of life cycle a product is in. It systematically analyses demand history or replenishment challenges before scientifically applying the optimal planning strategy.

 

Forecasting with Slim4

Slim4 seamlessly integrates with any ERP system and applies academically supported statistics to test trends across each product/location combination, identifying the appropriate classification for items that contain seasonality, irregular or lumpy demand, new activity, declining sales, and many other observations. This technique dramatically reduces the amount of effort from traditional forecasting & planning techniques alone, allowing planners to engage in additional activities that drive even greater business improvements. The result is more accurate and consistent forecasts, and inventory replenishment plans based on scientific intelligence, with far less effort. Demand Classification is a significant leap forward from the traditional ‘pick best’ approach. The obvious benefit is a dramatic improvement in the overall confidence of an inventory planning strategy.

At Slimstock, we believe a significant opportunity exists in releasing a tremendous amount of kinetic energy (cash-flow) from the inventories of most companies. The way we help our clients capitalise on this idea is designing software that becomes the ‘central intelligence’ of your inventory planning organisation and helps pre-empt threats on your supply chain objectives. At Slimstock, we don’t just replicate ideas; we are advancing supply thinking and helping our clients achieve extraordinary results from near ‘mission impossible’ scenarios.

 

 

 

 

 









 
           Circular Economy     Industry 4.0     Blockchain 

     Internet of Things     Omni Channel 


Join us on


News & Trends
 

Last update 1 Feb 2019
Series-record stockpiling of inputs at UK manufacturers as Brexit preparations continue
   Source: Markit /CIPS UK Manufacturing PMI ®  -  IHS Markit
United Kingdom 


Chemicals & Pharmaceuticals

Even industries driven by the strictest safety and environmental regulations are capable of reducing their costs. Our solutions improve each phase of the chemical logistics supply chain, to increase your supply chain performance, improve predictability and mitigate potential problems before they arise. B...


Overcoming the Barriers to Adopting Key Future Supply Chain Technology

From big data to AI, the future of supply chain technology is already here. What barriers to emerging technology are preventing companies from adopting it and how can they be overcome? The use of IT systems has become...


Education
 
26
Feb
2019
Introduction to public sector procurement
     Birmingham
27
Feb
2019
Applying the public procurement regulations
     Birmingham
28
Feb
2019
The future of public procurement
     Birmingham
 4 
Mar
2019
Introduction to contracts
     Birmingham
 5 
Mar
2019
Introduction to contract management
     Birmingham

Local & Regional Agenda
 


Resources
 
Erema: Gaining a competitive edge through preferential exports

Erema, an Austrian manufacturer of recycling systems, uses AEB software to accelerate the proper classification of its components, manage supplier’s declarations, and ensure compliance in its exports. Erema ship...

Conducting the End-to-End Value Chain Orchestra

In recent years, manufacturers have been outsourcing increasingly larger bits and pieces of their operations. Even historically sacred cows such as engineering, R&D, and product development are now commonly outsource...


International Agenda