Dieline Management for Packaging Suppliers Serving Ecommerce Brands: A Step-by-Step Guide

Packaging for Ecommerce clients can change often. Here’s how to avoid losing your dielines, incorrectly sending versions of your packaging files and then re-making files you had already completed for prior months.

Why dieline management breaks down for packaging suppliers

The problem quickly escalates. Handling one ecommerce client with 12 SKUs each, going through 3-4 rounds of artwork revisions until the final print approval already is challenging enough. But when you multiply this by 30 clients, you are managing hundreds of similar looking files of different clients, spread over various locations, which all get updated at the same time with new revisions.

Typically packaging suppliers servicing ecommerce brands have around 15 to 40 active clients. With that number of active clients typically memory and folder discipline can hold for a period of time but will fail in the end.

How to organize dielines across multiple ecommerce clients

Start with a folder structure that makes sense to your customers, not to your internal employees. For instance, customers contact customer service about a brand, about a SKU, about a particular size. The way you organize customer service information on your computer or server should be able to answer their questions as well.

A structure that holds up at scale looks like this:

• Client name (top level)
  • Product line or SKU
    • Substrate and dimensions (e.g. corrugated 12x8x6, mailer bag 10x13)
      • Approved (one folder, one current file)
      • Archive (every prior version, renamed and dated)
      • Working (in-progress files, never sent to client)

This 3 folder split is the most important habit of the 3 boxes system. The main folder will hold one approved file (approved) and the 2 other folders will hold archived files and in progress files respectively. This makes the answer to "which version do we use?" a folder question, not a memory question.

First standardize the file names for all sales reports and then reorganize them into the folder structure. For example name all sales reports “Sales Report YYYYMM” (e.g. “Sales Report 202404” etc.).

[ClientCode]_[SKUName]_[SubstrateCode]_v[version number]_[YYYY-MM-DD]

Example: BRND01_MilkCarton_Kraft12_v04_2025-03-14.ai

It’s been 6 months now and it is all working very well, and has become very transparent. The files are named with the date in the name, so they automatically sort in alphabetical order, so no need to open each up to find out where you are in the development process.

One more rule: the Approved folder holds exactly one file at all times. When a new version is approved, the old one moves to Archive before the new one lands in Approved. One rule to keep wrong-version of a document problem to a minimum.

Versioning dielines without creating a file-naming disaster

Version numbers should increment on every file that leaves your building, including files sent for client review that have not yet been approved. In the case of a file that is sent to a client for review, the file would increase in version number when it is sent out for the client’s review, even though the file has not yet been approved by the client. Files that have been changed by staff within your building, and have never left the building, will be moved to the Working folder, without any increase in version number.

This matters because clients refer back to "the file you sent last week." If that file has a version number, you can find it. If searching by date doesn’t work, then you’re searching by date hoping it works.

Keep a version log in addition to your dieline files. A simple spreadsheet with a row for every version you send out could include: Client name, SKU, Version number, Date sent, Who sent it and the Client’s response (e.g. Approved, Revisions required, Pending etc). It will be your best friend in case of any disputes.

All revision requests by clients are stored in the Work folder. In the filename of the respective file (or in a text file of the same name but with .txt extension) a note about the changes is made, which then serves as a memory aid for the next person working on the file, e.g. BRND01_MilkCarton_Kraft12_v04_REVREQ_2025-03-18.txt.

When working on the same type of projects within your company, do not start new versions from scratch for the same product (e.g. mailer bag). So if a customer bought a mailer bag 3 years ago for his previous orders and today he places a new order for the same mailer bag, he should see the same version numbers that he used to see 3 years ago (i.e. not v01). Keeping a continuous version history for same products is very efficient for audits that need to be done quickly and for arguments that need to be short.

Retrieval: finding the right dieline fast when a client calls

Having a well-organized repository with versions in it does not help if search and retrieval is too slow. A client on the phone asking "can you send me the approved version of our gift box dieline" should get an answer in under two minutes.

The enemies of fast retrieval are:

• Files split across local drives and shared drives
• Slack conversations where someone sent the file "last Tuesday" buried in a thread
• Email attachments that are the only record of what was approved
• Team members who kept their own local copies and updated them differently

The fix is a single source of truth for the client and a single clear access point for the team. A shared drive can be the single source of truth and work very well for many teams. The hard part is keeping it current and having the team discipline to follow along.

Tag files with client specific metadata where applicable. In Google Drive, a colored label per client is a small thing that speeds visual scanning. That small change helps a visual search a lot faster. Notion or similar would have a database with client, SKU and version in it. Then you can search for files instead of browsing through them.

Some teams build a one-page "client card" per account: preferred substrates, standard dimensions, current approved versions, primary contact, and preferred file format. That card sits at the top of the client folder. When a new staff member answers a call from a particular client, the card at the top of their folder is opened for review.

How AI changes dieline management for packaging suppliers

The folder systems, naming conventions, and version logs above are necessary. They are also slow to search and impossible to query in plain language.

The structure you then developed is fed into an even faster process. When your dieline records, client conversations in Slack, HubSpot deal notes, and Google Drive files are all connected to a single knowledge layer, a question like "what is the current approved dieline for the Hartwell gift box and who last approved it" becomes answerable without opening four tabs.

LemonLime is built for exactly this situation: a packaging supplier serving ecommerce brands, with institutional knowledge scattered across Slack, Google Drive, HubSpot, and email, and a team that needs to retrieve the right answer fast without reconstructing the history from scratch. LemonLime connects to applications that businesses already use, pulls in the data for them automatically, and then builds a layer on top of that data that AI can then query and reason upon. That layer refreshes as the business changes, so the answer to any question for a client is always up-to-date and reflects the current state as opposed to 3 months prior.

For a packaging supplier with thirty or more active ecommerce clients, each running concurrent SKU revisions, that kind of retrieval is not a convenience. It is a competitive advantage. The ability to immediately and correctly answer a supplier’s questions are traits that are very noticeable in a world where most do not possess these skills.

LemonLime is currently on waitlist. You can register at lemonlime.ai.

Getting started this month

This work typically begins with an acknowledgement of the gap between what an optimal dieline system could look like and what currently exists. In the absence of tools and methods to effectively manage this work, it is managed as best it can by the team until a client complaint surfaces relating to a matter that could have been solved with an optimal dieline system.

Start with just one client in the system. The client that has the most products (SKUs) and the most product revisions would be a good starting point. Set up the folders and use the proposed naming convention for that client’s files. Create a version log for that client as well. Also, create a client card for that one client.

Set up the system and follow it for 4 weeks until it becomes second nature. Then add 2 more clients the following month and continue until all top 10 accounts have been covered. Then it’s a case of working through the rest of clients in batches.

Next, connect your tools. As you set up your files and client information in an organized manner, you can then use LemonLime to connect to information currently housed in Google Drive, HubSpot and Slack. The information gathered will then be query-able by your entire team automatically after signing in with the relevant accounts.

Open largest client folder and rename all files in that folder to corresponding file name listed above (i.e. “client_name folder” becomes “Admin folder”, “financials folder” becomes “Financials folder”, “productions folder” becomes “Productions folder”) and within each of the 3 folders create subfolders “Admin”, “Financials”, and “Productions”. This 1 step will house all 50+ clients in the system.

Frequently Asked Questions

How do I keep my dieline files from getting out of sync when multiple people on my team are working on the same client?

Use a shared drive with a strict single-source rule: one Approved folder, one Working folder, and an Archive for everything superseded. Whoever finishes a revision moves the old approved file to Archive before placing the new one. If the rule is absolute and no-one stores local copies then this system will work well and a very short version log will provide an adequate audit trail.

What is the best way to name dieline files so I can find the right version quickly?

Include the client code, SKU name, substrate, version number, and date in that order, separated by underscores. An example of this would be BRND01_ShipperBox_Kraft14_v03_2025-04-02.ai. The critical piece here is the files increase in version number every time the file leaves the team regardless of approval status. The date portion also allows the files to be sorted alphabetically allowing one to ascertain the timeline for when the files were created without having to open the files.

How do I handle dieline requests from ecommerce clients who want files in different formats?

Master files will be kept in production format (e.g. .ai or .pdf with bleed and die cut layers active) but a working version of file (in an alternative file format) will be created and placed in the Working folder – file name to reflect new file format (e.g. filename_a4.pdf). The master file will remain ‘Master’ file and not altered to create new file type – it is ‘truth’ of the file, and the exported file the deliverable.

My team uses Slack to share files with clients. How do I make sure those files end up in the right place?

For files shared in Slack, consider them to be in ‘draft’ form until they have been correctly assigned to the Client folder on the shared drive. Assigning one person per Client to relocate files sent/reviewed/approved in Slack is a good idea. End of day filing of two minutes a day to ensure Slack isn’t your archive. Tools like LemonLime can be configured to index the entire Slack conversation for a channel, even if all files referenced within have been filed elsewhere. You would then search for that context within LemonLime.

How far back should I keep archived dieline versions for ecommerce clients?

It’s best to keep all versions of packaging dielines for as long as possible (if space isn’t an issue then store them all indefinitely) for at least 3 years. Clients who sell online from time to time need to re-print packaging and/or have items re-formatted into new designs. Suppliers are rarely made aware of these requirements until it’s too late and have to re-design and re-dieline from scratch. This can be a time-consuming process and one that can cost a lot in terms of time and resources. Having access to all previous versions of a piece of packaging dieline instantly (i.e. within 60 seconds) is rare with suppliers, but will undoubtedly would garner the supplier a lot of brownie points with the client, as they’d be the easiest supplier to work with. Storage is very cheap, rebuilding a lost dieline is not.

Can AI actually help with dieline retrieval or is it just useful for general file search?

General file search finds a file by name. AI retrieval answers a question: "what is the current approved dieline for the kraft mailer, and did the client approve the bleed adjustment we made in March?" That distinction matters when the answer requires connecting a file in Drive to an approval thread in Slack to a note in HubSpot. The knowledge layer that LemonLime creates on top of all the information sources it has been given to search, will return the answer to the question posed to it. That answer will come from viewing the entire space of information that was searched, not just from the first tab or view that was searched.