The cheapest supplier is not necessarily the supplier that costs a business the least.
Purchase price is an obvious part of supplier selection, but it is only one of many. Stock availability, delivery terms, update frequency, data quality, order processing and the amount of manual work involved can all change the real cost of working with a distributor.
That becomes increasingly important as businesses add more suppliers. A Gartner survey published in 2026 found that 72% of supply chain leaders have had to revisit a major network decision at least once after approving it, often because the real cost of qualifying and maintaining multiple supplier sites had not been fully accounted for going in.
More suppliers can provide greater choice, better availability and less dependency on a single source. They also create a new challenge: comparing those suppliers consistently.
Working with two suppliers for a product is relatively straightforward. Add five, ten or more, and the decision becomes more complex.
One distributor may offer the lowest price. Another may have more stock. A third may provide better delivery terms. Some update their data several times a day, while others provide a daily file. Order processing may be fully electronic with one supplier and require manual work with another.
At that point, supplier selection is no longer simply a matter of comparing price lists.
Visibility matters too. In the same survey, more than half of supply chain leaders said they had to revisit a network decision three or more times before it settled, and reported lower satisfaction with the final outcome as a result.
Adding suppliers therefore does not automatically mean having a better view of the available options. The information behind those supplier relationships has to be accessible and comparable as well.
Consider two distributors offering the same product.
Supplier A sells it for €96.
Supplier B sells it for €100.
Based on purchase price alone, Supplier A appears to be the better choice. Now, add the way each supplier works.
Supplier A updates stock once a day and sends order information in files that require manual checking and processing. Supplier B provides structured stock and pricing updates more frequently and supports electronic order exchange.
The €4 difference has not disappeared. It is simply no longer the only cost involved.
Someone may have to check whether the stock figure is still current, process files manually, correct inconsistent data or re-enter order information. Each additional step takes time and introduces another opportunity for delays or errors.
This is the principle behind total cost of ownership in procurement. The cost of working with a supplier extends beyond the purchase price itself. Administrative effort, logistics, inventory management, quality control and process efficiency can all contribute to the total cost.
For supplier selection, that means the lowest unit price can still be the best option, but it should win because the overall conditions make sense, not simply because one number is lower.
Supplier size is another factor that is easy to oversimplify.
Large distributors often provide broad assortments, established infrastructure and mature data connections. For businesses managing high order volumes or large catalogs, that can make them an important part of the supplier mix.
Smaller or regional distributors can offer different advantages. They may provide specialist assortments, regional availability, more flexible commercial terms or products that are difficult to source elsewhere.
Neither model is automatically better. The more useful question is whether the supplier fits the products, markets and processes of your business.
Data connectivity plays a role here as well. A smaller distributor providing a simple CSV file is not automatically more difficult to work with than a larger distributor providing an API. What matters is whether that data can be integrated into the process reliably and updated often enough for the intended use.
Stock and pricing data can arrive in many different ways, including APIs, XML or JSON feeds, CSV and Excel files, FTP or SFTP connections and supplier portals.
The format itself is not necessarily the problem. A daily spreadsheet may be perfectly adequate for an assortment where price and stock rarely change. The same process becomes much less suitable when availability changes throughout the day or when the business has to compare several distributors for thousands of products.
This makes data connectivity an important supplier selection criterion.
Before adding a distributor, it is worth asking:
| What to compare | Why it matters |
| Price and commercial terms | Unit price, discounts, minimum order quantities and payment terms affect purchasing cost |
| Availability | Stock levels matter only if the information is sufficiently current |
| Assortment | A supplier may cover a large share of the catalog or provide important niche products |
| Delivery | Lead times, shipping costs, thresholds and dropshipping options affect the final offer |
| Data connectivity | The format and update frequency determine how easily stock and pricing can be processed |
| Order connectivity | Electronic purchase orders, confirmations and shipping updates can reduce manual work |
| Reliability | Clear communication and consistent information become especially important when something goes wrong |
The right weighting will be different for every business. For one company, stock availability may be critical as they expect large orders. For another, margin or delivery conditions may matter more for highly specialized items.
The important part is that those criteria can actually be compared.
The difficulty with comparing distributors is that their data rarely arrives in exactly the same structure.
One supplier may use a CSV file with its own field names. Another provides an XML feed. Another uses an API. Even when they communicate the same basic information, such as product identifier, stock and purchase price, the underlying structures can differ.
Icecat Connect is designed to bring this distributor data together.
It imports unstandardized stock and pricing data from multiple distributor sources and converts it into a standardized format. Instead of building the rest of the process around every individual supplier structure, businesses can work with a consistent view of their distributor data.
This becomes particularly useful as the supplier base grows. Adding another distributor does not have to mean adding another completely separate manual workflow for comparing its assortment, stock and pricing.
Standardization does not decide which supplier is best. It makes the information required for that decision easier to use.
Once distributor data is standardized, another question appears.
If the same product is available from several suppliers, which supplier should represent that product inside the PIM? This matters because the selected purchase price can serve as the base for calculations such as margins and sales prices.
Icecat PIM can apply distributor selection rules to make that product-level choice automatically. The cheapest distributor can be selected by default, or businesses can configure their own selection rules based on their requirements.
That is different from deciding which supplier should ultimately fulfill a specific customer order. The supplier used as the current product reference may not always be the supplier that is best positioned to fulfill an order later. Current availability, delivery conditions or commercial agreements can change that decision.
Keeping those two questions separate is useful:
Which supplier should currently represent this product and its base purchase price?
Which supplier should fulfill this particular order?
Both decisions depend on the same foundation: accurate and comparable supplier data.
Price will always matter when choosing suppliers.
But as supplier networks grow, businesses have more variables to consider. Stock, delivery, assortment, connectivity and the operational work involved in maintaining a supplier relationship can be just as relevant to the final result.
The goal is not to avoid the cheapest supplier. It is to understand when that supplier really is the best option. Bringing distributor stock and pricing into a standardized structure creates the basis for that comparison. From there, you can apply your own priorities and choose suppliers based on the factors that actually matter to you.
Want to see how Icecat Connect and Icecat PIM can help manage stock and pricing data from multiple distributors?
What should businesses consider when selecting a supplier?
Supplier selection can include purchase price, commercial terms, stock availability, assortment, delivery conditions, data connectivity, order processing and reliability. The relative importance of each factor depends on the business and the products being sourced.
Is the cheapest supplier always the best choice?
No. The lowest unit price can be the best option, but it should be considered alongside other costs and operational requirements. Manual processing, outdated stock information, shipping costs or inefficient order handling can affect the total cost of working with a supplier.
Do distributors need an API for supplier data automation?
No. APIs are one option, but supplier data can also be automated through structured files and other connections. The appropriate method depends on the available source, required update frequency and internal process.
Can businesses automate data from smaller distributors?
Yes. Distributor size does not determine whether its data can be integrated. What matters is the data the supplier can provide and whether it can be mapped into the required structure.
How does Icecat Connect support supplier management?
Icecat Connect imports stock and pricing data from multiple distributor sources and converts unstandardized input into a standardized format. This gives businesses a more consistent basis for working with supplier data.
How does supplier selection work in Icecat PIM?
Icecat PIM supports distributor selection rules for products. The cheapest distributor can be selected by default, while businesses can also configure selection rules according to their own requirements.
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