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    <loc>https://www.scipsolutions.com.au/blog-2-1/blog-post-title-one-4wbph-jkb79-5yh2y-hrzpk</loc>
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      <image:title>Articles - Optimising Ratio Packs - Part 3</image:title>
      <image:caption>Ultimately the following pack configuration provide the minimum amount of excess units based on the constraints provided. In this scenario, we’re able to capture 100% of the sales demand (21,383) by purchasing 23,888 which is 11.7% above the planned sales. A relatively modest improvement off the previous 3 configurations which were biasing small, flat and larger curves.</image:caption>
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    <loc>https://www.scipsolutions.com.au/blog-2-1/blog-post-title-one-4wbph-jkb79-5yh2y</loc>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/61f657c3c4253b18df9e2917/ea8809d6-774e-4860-9bf1-3f8305dcb5e1/Screenshot+2022-11-25+at+11.19.35+am.png</image:loc>
      <image:title>Articles - Optimising Ratio Packs - Part 2</image:title>
      <image:caption>Ultimately the following pack configuration provide the minimum amount of excess units based on the constraints provided. In this scenario, we’re able to capture 100% of the sales demand (21,383) by purchasing 23,888 which is 11.7% above the planned sales. A relatively modest improvement off the previous 3 configurations which were biasing small, flat and larger curves.</image:caption>
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    <loc>https://www.scipsolutions.com.au/blog-2-1/blog-post-title-one-4wbph-jkb79</loc>
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    <lastmod>2022-11-23</lastmod>
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      <image:loc>https://images.squarespace-cdn.com/content/v1/61f657c3c4253b18df9e2917/6dc67b70-71e6-4a94-a918-fc49b6d5835f/Screenshot+2022-11-13+at+11.52.52+am.png</image:loc>
      <image:title>Articles - Optimising Ratio Packs - Part 1</image:title>
      <image:caption>Let’s imagine the following scenario, where we have a product which comes in case quantities of 19 units across 7 sizes and where the units per size in each case closely reflects the sales contribution of each size. In this scenario the total sales volume for the season is 21,383 units. Although the units per size couldn’t be more aligned to sales contribution, we can already see that even if all stores sell in the same size contribution, there will be imbalances at the total level given there is some variance which will drive out an imbalance.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/61f657c3c4253b18df9e2917/8514916f-fd2c-4f17-842f-7923f143bee7/Screenshot+2022-11-13+at+12.03.40+pm.png</image:loc>
      <image:title>Articles - Optimising Ratio Packs - Part 1</image:title>
      <image:caption>Of course, all stores don’t sell in the same size contributions and will look something similar to this graphic which represents the total sales by size and store for the season. In all of these cases, the variance between the ratio pack and the sales contribution will be larger still and will therefore require more packs to be purchased in order to maintain the same level of availability. In this case, to achieve 100% availability for the season (just for the purpose of the exercise), 1,440 packs of the previously mentioned ratio will be required which totals 27,360 units which is 28% higher than the units intended to be sold.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/61f657c3c4253b18df9e2917/337aee37-2025-4b21-8e30-9071682340ba/Screenshot+2022-11-13+at+3.45.23+pm.png</image:loc>
      <image:title>Articles - Optimising Ratio Packs - Part 1</image:title>
      <image:caption>Now if we were to move away from 1 fixed ratio and source 3 ratios, each with the bias towards a certain section of the size curve, we should expect to see a reduction in the packs required to meet the same level of availability. This is indeed the case. By applying Linear Programming we can simulate this scenario which results in only requiring 1,288 packs, or 24,472 units which is now 14% above the planned sales which is half the amount of markdowns required. The question does remain though, “How many of each pack should be purchased?”. By applying the same modelling, in this scenario with these pack ratios the answer is 732 of Pack 1 91 of Pack 2 465 of Pack 3.</image:caption>
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    <loc>https://www.scipsolutions.com.au/blog-2-1/blog-post-title-one-4wbph-jnk7t</loc>
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    <lastmod>2024-01-13</lastmod>
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      <image:title>Articles - Consistency Counts - Lead-times VS Delivery On Time - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
    </image:image>
    <image:image>
      <image:loc>https://images.squarespace-cdn.com/content/v1/61f657c3c4253b18df9e2917/04aa8264-6dbe-4607-8ac7-89a3a6c056a8/Screenshot+2022-11-12+at+12.14.07+pm.png</image:loc>
      <image:title>Articles - Consistency Counts - Lead-times VS Delivery On Time - Make it stand out</image:title>
      <image:caption>Lead-time and lead-time standard deviation performance and its effect on stock holding required to meet a specified service level</image:caption>
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    <loc>https://www.scipsolutions.com.au/our-team</loc>
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      <image:title>About</image:title>
      <image:caption>With over two decades of executive experience in diverse retail sectors, SCIP Solutions boasts deep expertise in inventory management and supply chain operations across Europe and Australia, advancing from individual roles to senior cross-functional leadership. Our comprehensive knowledge spans the entire product journey from factory to consumer, grounded in hands-on operational experience. Driven by a commitment to continuous improvement, we're dedicated to eliminating inefficiencies and amplifying value. Our background includes deploying replenishment and inventory systems, spearheading the growth and transformation of one of Australia's premier retail supply chains, enhancing productivity, fostering remote teams, boosting store availability, and championing safety. At SCIP Solutions, our mission is to extract maximum value for our clients by scrutinizing the complete supply chain, offering them intuitive yet sophisticated solutions.</image:caption>
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    <loc>https://www.scipsolutions.com.au/contact-us</loc>
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