SupplyVerse for Sourcing Managers

Sourcing in a volatile commodity market

As a sourcing manager, your core job is to find the best combination of price, quality, and reliability for every metal component your company buys. You run RFQs, evaluate quotes from multiple suppliers, and make recommendations that directly affect programme costs and supplier relationships.

The challenge is that metal pricing moves constantly. An RFQ you issued two weeks ago was based on market aluminium at one price. The quotes arriving today reflect a different market. Comparing bids from suppliers who quoted on different days, against different baselines, with different alloy surcharge structures, is an exercise in frustration without the right tools.

Benchmarking quotes against market in real time

Agent Midas gives you the ability to benchmark any supplier quote against live commodity intelligence in seconds. Drop in the quote, and Midas identifies the alloy, pulls the current market price, builds a should-cost model, and tells you whether the quoted price is fair, high, or low relative to current market conditions.

This is transformative for RFQ evaluation. Instead of comparing Quote A against Quote B in isolation, you compare both against a common market-referenced baseline. You can see immediately which supplier is pricing competitively and which is embedding excess margin in the material cost, the conversion, or the logistics.

Supplier comparison with a common baseline

One of the most time-consuming aspects of sourcing is normalising quotes from different suppliers who present their pricing differently. Supplier A quotes a piece price including material, conversion, and freight. Supplier B quotes material separately with a variable market-linked adjustment. Supplier C quotes FOB with freight as an extra.

SupplyVerse normalises all of these into a common cost breakdown: material (at current market), conversion, finishing, freight, and margin. You can compare suppliers on a like-for-like basis and identify exactly where each supplier is more or less competitive.

This level of transparency also makes supplier feedback conversations more productive. Instead of telling Supplier A they are "too expensive," you can tell them their conversion cost is 20% above the benchmark while their material pricing is competitive. This specificity leads to more meaningful negotiations and better outcomes.

Speed: from days to seconds

Traditional sourcing processes are slow. An RFQ for a 50-part BOM might take 2 to 3 weeks to evaluate properly, factoring in the time to build cost models, normalise quotes, and prepare a recommendation. During that time, the market moves, internal stakeholders grow impatient, and the opportunity cost of delayed decisions accumulates.

With Agent Midas, you can process an entire 50-part RFQ evaluation in an afternoon. Upload the BOM, benchmark every line against current market data, compare incoming quotes against the baseline, and generate a recommendation report. The speed does not compromise quality; it enhances it, because every data point is current rather than weeks old.

How Agent Midas fits into your sourcing workflow

When an RFQ response arrives, you drop it into Midas for an immediate benchmark check. Midas flags any lines where the quoted price is significantly above or below fair value. You focus your analysis time on the outliers rather than reviewing every line manually.

When comparing multiple suppliers, you use the normalised cost breakdown to build a clear comparison table that your stakeholders can understand. When preparing a recommendation, you attach the should-cost models as supporting evidence, giving your decision the credibility of transparent, market-referenced data.

Agent Midas for sourcing managers

Sourcing decisions are only as good as the data behind them. Agent Midas gives you live market data, transparent cost models, and instant benchmarking for every quote you evaluate. Stop spending days normalising spreadsheets and start spending your time on the strategic sourcing decisions that drive real value.