AI Packaging Process Recommendations: Common Prompts to Share

Why Craft Recommendations Need Structured Prompts

Craft recommendations are more complex than material recommendations. The same hot stamping process produces noticeably different results on white cardstock, coated paper, and gray board laminated paper. Spot UV cannot cover fold lines, and embossed patterns must be at least 2mm from the edge. AI does not automatically know these constraints.

If the prompt only says "recommend some packaging crafts," AI typically outputs a generic list like "hot stamping, UV, embossing, lamination." It seems to answer the question, but each process lacks a judgment of "whether it applies to this product." You still need to check item by item.

Five Essential Variables for Craft Recommendation Prompts

Variable 1: Substrate Material

Crafts must match materials. Hot stamping suits smooth surfaces, such as white cardstock, specialty paper, and coated paper. Rough paper surfaces affect the transfer completeness of metallic foil. Embossing suits paper with a certain thickness or gray board; overly thin paper tends to show marks on the back.

Variable 2: Printing Method

Digital printing and offset printing perform differently when combined with crafts. Spot UV after digital printing requires controlling the varnish thickness; excessive thickness may affect the adhesion of the digital ink layer. Offset printing combined with hot stamping offers better stability because the ink layer is already fully dried.

Variable 3: Pattern Area and Position

If hot stamping patterns are too small, lines break; too large increases cost. Spot UV patterns must be at least 2-3mm from fold lines, otherwise they tend to crack during folding. Embossed patterns must be no less than 2mm from the box edge to avoid cracks during forming.

Variable 4: Quantity and Budget

Hot stamping and embossing both require plate-making fees. At low quantities, fixed costs account for a large share; at high quantities, fixed costs can be amortized. Including order quantity and budget in the prompt allows AI to advise based on "whether this process is worth adding."

Variable 5: Delivery Timeline

Each additional step in hot stamping or spot UV typically extends the lead time by 1-2 working days. Lamination adds 1-2 days. If the timeline is tight, the prompt should specify the "latest delivery time" so AI can work backward through process durations to determine feasible craft combinations.

Prompt Examples for Five Craft Categories

Example 1: Hot Stamping

Please evaluate the feasibility of using hot stamping on [product name]. Substrate material: [white cardstock/coated paper/gray board laminated paper]. Hot stamping position: [LOGO/brand name/decorative lines]. Pattern size: [length X width mm]. Order quantity: [X pieces]. Budget cap: [X yuan/box]. Please output: whether recommended, foil color suggestions, plate and processing cost estimates, and risk notes.

Example 2: Spot UV

Please evaluate the feasibility of using spot UV on [product name]. Substrate material: [white cardstock]. UV area: [LOGO/specific pattern]. Distance from pattern to nearest fold line: [X mm]. Whether glossy or matte effect is needed. Order quantity: [X pieces]. Please output: UV varnish type, thickness control, compatibility with digital printing, and risk points.

Example 3: Embossing

Please evaluate the feasibility of using embossing on [product name]. Substrate material and thickness: [white cardstock 300g/gray board 2mm]. Embossed pattern size: [X mm]. Pattern position: [box lid center/side]. Order quantity: [X pieces]. Please output: recommended embossing depth, die specifications, impact on forming, and whether there is a risk of marks on the back.

Example 4: Lamination

Please evaluate the feasibility of using lamination on [product name]. Substrate material: [coated paper/white cardstock]. Lamination type: [glossy/matte/soft-touch film]. Usage scenario: [e-commerce shipping/shelf display/gift]. Whether water resistance or anti-fingerprint properties are needed. Order quantity: [X pieces]. Please output: film thickness, impact on color saturation, recyclability, and recommendation priority.

Example 5: Craft Combination

Please design a craft combination plan for [product name]. Budget constraint: [X-X yuan per box]. Substrate material: [X]. Pattern information: [main image + LOGO + text hierarchy]. Order quantity: [X pieces]. Please output: 2-3 craft combination plans, each including process sequence, cost breakdown, visual effect description, and risk points. Prioritize combinations where fixed costs can be amortized.

Three Details to Improve Recommendation Accuracy

Detail 1: Clarify whether it is a gift box positioning. Gift box positioning has high visual performance requirements for crafts, and AI will prioritize high-contrast combinations. Regular e-commerce packaging focuses more on durability, and AI will prioritize durable combinations like lamination + spot UV.

Detail 2: Indicate the hierarchy between patterns and text. If the LOGO is the main visual, AI will recommend hot stamping + embossing layering; if there is a lot of text information, AI may only recommend spot UV to highlight key information and avoid excessive stacking.

Detail 3: Specify whether the product is for export. Export products need to consider chemical substance compliance in crafts, for example, whether the adhesive in hot stamping foil complies with RoHS. AI will mark compliance check items in craft recommendations.

Common Mistakes and Corrections

Mistake 1: The prompt only says "use some good crafts." AI will recommend a bunch of crafts without considering cost and suitability. Correction: explicitly include budget, substrate material, and pattern size in the prompt.

Mistake 2: Ignoring stacking conflicts between crafts. Spot UV cannot cover fold lines, and the registration deviation between embossing and hot stamping must not exceed 0.2mm. The prompt should specify "craft stacking rules" so AI can check for conflicts in advance.

Mistake 3: Overlooking delivery timeline constraints. AI defaults to recommending craft combinations with good visual effects, but each additional process adds to the lead time. The prompt should specify "deliver by [date]" so AI can work backward through the timeline to determine feasible plans.

Next Steps After Recommendations

After AI outputs the craft plan, it is recommended to have AI generate a "proofing verification checklist." The checklist should include: craft plate specifications, registration requirements, and sample inspection items. This checklist can be directly handed off to the proofing stage as an acceptance basis. Lexiang Packaging supports generating small-batch proofing orders based on AI plans, starting from 10 pieces, allowing craft effects to be directly confirmed in physical samples.