Knitted Bag Price Bands: The Drivers Behind Each Tier and How to Compare Quotes

Question One: Is There a Published Price Ladder?

No, and any table claiming otherwise should be treated with suspicion. Retail price ladders exist because a shop decides them; a production quote does not work that way, because every line in it is derived from the specification in front of the person costing it. What exists instead is a clustering: constructions with similar gauge, similar yarn and similar complexity tend to land near each other.

That clustering is still useful, because it tells a buyer where the decisions are. Two constructions in different clusters are different because one of four things changed, and identifying which changed is faster than arguing about the number itself. Bands are therefore best understood as a description of causes rather than as a list of figures to memorise.

Question Two: What Actually Sets the Tier?

Four drivers set it, and they act in a consistent order. Machine time comes first, because a knit cost is largely cycle time. Then yarn, because consumption is set by panel area and structure. Then assembly, because anything the machine cannot finish has to be done by hand. Then scale, because setup is recovered over the run length.

Driver one: cycle time

Gauge decides loops per centimetre, and E12 takes longer per panel than E7

Driver two: yarn consumption

300D versus 600D changes mass and material cost on the same panel

Driver three: assembly

Joining method, closures, base boards and any hand finishing

Driver four: run length

Setup recovered across the quantity; minimum 100 pcs per style and colourway

Modifier: colour count

Each additional colourway adds its own approval and setup

Modifier: certification

GRS chains and testing costs amortised across the run

Modifier: trade terms

FOB Xiamen versus CIF or DDP moves the boundary of what is included

Modifier: inspection

AQL 2.5 under ISO 2859-1 adds a defined step, not a large sum

Read that list in order and the shape of any quote becomes predictable: the expensive part of a knitted bag is usually the time on the machine and the handwork afterwards, not the polymer itself. A buyer who wants a lower figure therefore has a specific set of levers, none of which is asking for a lower result without changing anything.

Question Three: Where Can the Number Actually Move?

Every quote has three or four points worth negotiating and dozens that are not worth the email. Identifying which is which saves a season. Gauge, yarn count and joining method change the product, so they are design decisions rather than negotiation points. Quantity, colourway count and packaging are commercial decisions, so they can move without touching how the bag performs.

Notice that none of those is 'ask for a better figure'. Requests of that kind are answered, eventually, and usually answered with a material substitution nobody asked for, which is how two quotes end up describing different products while appearing to compete on a number.

Question Four: Is Knit Always the Expensive Option?

No, and the comparison is frequently made badly. Cut-and-sew quotes are often cleaner because they separate fabric, cutting and assembly into visible lines, whereas a shaped knit panel arrives finished, so several steps have already happened inside one figure. Comparing unit numbers across the two methods without adjusting for that is comparing different scopes of work.

Question Five: How Does Quantity Reshape the Figure?

Quantity matters through setup recovery rather than through anything mystical. Writing a knitting programme, setting up the machine and approving colour are largely fixed costs for a given style; whether they are recovered across 100 pieces or 1,000 decides how much each unit carries. That is why the same bag can look expensive in a test quantity and reasonable in a season quantity.

The implication for planning is that small quantities should be used deliberately rather than apologetically. Running 100 pcs per style and colourway is a sensible way to test demand, but it will not produce the figure a large order would, and it should not be expected to. Buyers who treat the first small run as research tend to plan the second order more accurately than those who treat it as a failed negotiation.

Question Six: What Sits Outside the Unit Figure?

More than most buyers expect, which is why a clean comparison requires stating a trade term. Under FOB Xiamen the quote covers goods loaded on board; freight, insurance, duty and destination handling sit outside it. Under CIF or DDP, more of that is inside, and the quote will look larger while being directly comparable to a landed total.

1. Confirm which Incoterms rule the figure is quoted on; this alone can explain most of a difference between two bids.
2. Add freight separately by mode, since sea, air and parcel networks each bill a different quantity.
3. Include duty and any regional charge applicable to the destination market.
4. Add compliance costs: restricted substance screening, certificates and any child-article testing required.
5. Amortise development across the expected total rather than charging it wholly to the first run.
6. Leave a line for inspection and for the small number of re-worked pieces every first run contains.

Two of those are habitually forgotten. Duty is charged on a classification rather than on how the bag looks, and a knitted construction can sometimes be classified differently from what a team assumed, so it deserves a check before promising a landed figure. Testing is the other, because it is quoted per test rather than per unit and therefore behaves like a fixed cost across the order.

Comparing Two Quotes Honestly

The practical method is to normalise before comparing. Put both figures on the same trade term, the same quantity, the same gauge and yarn count, the same joining method and the same packaging, then compare what is left. Most apparent differences of more than a small margin disappear during that exercise, because they were differences in specification rather than in efficiency.

Where a difference survives normalisation it is usually informative rather than good or bad. One party may be carrying stronger test evidence, tighter tolerance, or a certificate chain the other has not priced. Deciding whether those matter for the article in question is a buyer judgement, and making it explicitly is far better than discovering the difference after the goods are made.

Question Seven: Why Does a Tier Move Between Seasons?

Buyers are often surprised that a style requoted after six months returns a different figure with no design change. The explanation is usually input volatility rather than any change in the construction. Polyester feedstock follows petrochemical markets, freight rates follow capacity rather than distance alone, and currency movements alter what a USD-denominated quote means to a buyer converting from another currency. None of those is inside anybody's control at the specification level.

The practical response is to quote with a validity window and to state it. A figure valid for thirty days is honest; one valid indefinitely is a promise nobody can keep, and pretending otherwise produces arguments later that damage the working relationship more than the original movement did. Asking which assumptions sit behind a validity window also tells a buyer how exposed that particular quote is.

A second answer is to agree what triggers a re-quote. Many programmes write a clause saying that a movement beyond a stated threshold in yarn or freight allows either side to revisit the figure, which sounds adversarial and in practice prevents worse disputes. The alternative is silent absorption followed by a substitution nobody discussed, and that outcome is considerably harder to detect from a buyer's side of the table.

None of this makes long-term planning impossible. It makes it a matter of tracking two or three variables rather than one. Programmes that re-check their landed assumptions once a season and hold their technical specification steady tend to find that volatility, while real, is smaller than the variance caused by changing specifications mid-stream.

Writing a Request That Returns a Usable Figure

A quote request that returns something comparable has eight items and can still fit in one email: bag type and dimensions, target gauge or target weight, yarn preference, joining and closure method, colourway count with quantity each, packaging requirement, market of sale with any certificates needed, and the trade term wanted. Anything less invites assumptions, and assumptions are what turn two quotes into two different products.

Adding the three price points alongside helps too. Asking what the same style figures at 100 pcs, at 500 and at 1,000 gives the buyer a slope rather than a point, and the slope is what a range plan actually needs. It also signals that the first order is exploratory, which changes how the whole enquiry is handled on the other side.

Two related pieces fill in the surroundings: the movement in regional demand explains why the same style is specified differently by market, and European buyer requirements set out the compliance lines that belong in the first request rather than the last shipment.

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