MetalMiner Insights includes prices for 304 stainless steel plus many other common grades including: 201, 301, 316, 321, 430, 409, 439 and 441. Capabilities include: LME nickel and global stainless steel price points from Europe, China and North America, should-cost models, buying signals, price forecasting (monthly, quarterly and annually), sourcing strategy recommendations and 100+ price feeds. MetalMiner Insights shows companies how to buy, when to buy and what to pay.
It’s not enough to merely know the base price and surcharge for stainless steel. Plenty of cost comes from all of the adders and extras (e.g. vinyl, polish, cut-to-length etc). MetalMiner provides a more granular view of total cost, giving the buying organization at least 45% more visibility into the total costs they actually pay. 2b Stainless Steel Sheet
Depending on whether or not a company buys mill-direct or through service centers, having access to a comprehensive stainless steel price model remains elusive. The MetalMiner Insights should-cost models for stainless steel and nickel prices factor in all elements of stainless costs including: base prices, gauge, width adders, prevailing discounts applied and all adders and extra costs for a full range of commercially available stainless grades.
US Grades 201, 304, 304L, 316, 430 Flat Rolled
US Grades 409, 439, 441 (Both Automotive and Appliance)
European Grades 304 Round and Square Bar
Ignore the noise, but know the trend. MetalMiner’s track record on stainless steel price forecasts as well as stainless surcharges, by calling a bullish market or a bearish market means buying organizations can always generate cost savings or cost avoidance.
Some may argue that timing an aluminum buy appears speculative. Spot buying, however, also means speculative buying! Merely having a specific price of aluminum per pound via fundamental analysis (e.g. supply and demand) rarely equates to an actionable buying strategy, particularly with high market volatility. Understanding the aluminum price from a short term and long term perspective allows buyers to alter strategies in falling, sideways, and rising markets – as well as save money by timing the buy.
For new procurement professionals or those that have the exciting responsibility of managing an aluminum category for the first time, this brief on the 5 best practices of metal-based sourcing can help with upcoming supplier negotiations. This brief describes how to use cost breakdowns to separate out the conversion/processing costs from metal prices, why one should buy by the weight vs. the each, the importance of “3” in supply awards and two other best practices all designed to help reduce cost of goods sold.
Have an upcoming negotiation for aluminum sheet or coil? Make sure you know how your service centers will negotiate the aluminum price. Whether you buy 3003 aluminum sheet or 6061 extrusions, a strong understanding of which part of the aluminum price moves with an index and which elements should remain fixed will help mitigate market volatility.
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We’re always looking for input, as well as opportunities to expand our offerings to help buying organizations purchasing metal. Interested in steel metal prices and market trends? What about advice on copper prices, negotiations and cost-downs? Reach out to us and let us know!
The goal of MetalMiner is to help manufacturers better manage margins. In addition to this, MetalMiner also assist companies in generating cost savings and cost avoidance, smoothing out volatility and meeting profitability targets. We use data – data science, data analysis, artificial intelligence, statistical analyses as well as technical analysis to provide buying organizations with specific actionable buying guidance. When used consistently, MetalMiner’s buying guidance affords companies both cost savings and cost avoidance opportunities.
MetalMiner helps buying organizations better manage margins, smooth commodity volatility, generate cost savings and negotiate prices for metal commodities. The company does this through a unique forecasting lens using artificial intelligence (AI), technical analysis (TA) and deep subject matter expertise.
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