Why does the AI packaging quote look accurate but end up with a large deviation?

In 2024, we received an unusual customer complaint. The customer used the AI quotation system on our official website, entered the gift box dimensions, quantity, and processes, and got a quote of 2.3 RMB per unit. However, during actual business communication, the salesperson quoted 3.8 RMB per unit. The customer asked: is your AI quotation accurate or not?

This complaint prompted us to conduct a complete error analysis of our AI quotation system. We analyzed 200 real orders, comparing the AI quotations with the actual order quotations. The results showed that the deviation range of the AI quotations was between -35% and +180%, with an average deviation of +18% (the AI tends to underestimate).

This is not an isolated case; it is a common phenomenon across the industry. Since 2023, LeXiang, Youpai, and Box Arts Home and other peers have successively launched AI quotation systems, and complaints within the industry about AI quotations appearing accurate but having large actual deviations have been increasing.

This article aims to clearly explain why AI packaging quotations appear accurate but have large actual deviations. It is not intended to complain about AI quotations (we use them ourselves), but to provide customers with a checklist of what to watch out for when looking at AI quotations.

How AI Packaging Quotes Achieve the Appearance of Accuracy

An AI quotation system appears accurate mainly because of two capabilities:

First, structured data input. The AI system guides customers to enter 20–50 parameters, including dimensions, materials, order quantity, printing process, post-press process, surface finishing, and shipping method. These parameters closely match those on the printer's internal quotation form, giving the system a professional look.

Second, training on massive historical order data. AI systems are typically trained on a printer's historical order data from the past 3–5 years, allowing the model to learn the pricing patterns for similar orders. For standard orders (such as typical gift boxes, conventional printing, and common processes), the deviation between the AI quotation and the actual quotation is usually within 10–20%.

These two points enable AI quotations to provide a useful reference for standard orders. However, the issue is that more than 60% of packaging orders are not standard orders.

5 Fundamental Reasons Why AI Quotation Has Large Actual Deviations

Reason 1: Hidden costs are not calculated.AI quotation can account for material costs, printing costs, labor costs, and basic process costs, but many hidden costs cannot be calculated—trial production waste for special processes, additional mold fees for irregular structures, minimum order quantity premiums for special materials, capacity scheduling fees for urgent orders, and extra QC hours for complex processes. These costs combined may account for 15-30% of the total cost.

Real case: A customer ordered irregular gift boxes, AI quotation was 3.5 yuan per unit, actual quotation was 4.8 yuan per unit. The difference mainly came from: die-cutting mold fee of 5,000 yuan amortized for the irregular structure, 8% trial production waste, and additional setup time for the special process combination.

Reason 2: Volume threshold effects are not accurately calculated.AI systems calculate based on per-unit cost × quantity, but the packaging industry's cost structure has strong volume thresholds—below a certain quantity (e.g., 500 units), the per-unit cost will jump up; above a certain quantity (e.g., 50,000 units), the per-unit cost decreases but the quotation discount cannot be given infinitely.

Real case: A customer ordered 800 gift boxes, AI quotation was 4 yuan per unit (calculated at 4 yuan per unit × 800), actual quotation was 6 yuan per unit (because 800 units is far below the economic batch quantity of 3,000 units, unit cost was raised by 50%).

Reason 3: Complexity of process combinations is underestimated.AI systems typically calculate by stacking processes (lamination 0.3 yuan + hot stamping 0.5 yuan + UV 0.4 yuan), but in actual production, the cost of complex process combinations is not a simple addition—combining multiple processes requires additional process linking, registration adjustment, and QC inspection, costing 30-50% more than stacking individual processes.

Real case: A customer ordered gift boxes with a four-process combination of lamination + hot stamping + UV + embossing, AI quotation based on process stacking was 3.5 yuan per unit, actual quotation was 4.5 yuan per unit. The difference lies in the linking cost of the process combination.

Reason 4: Material fluctuations are not considered.The material prices used by AI systems come from historical databases (usually 1-3 months old), but packaging material prices fluctuate greatly—paperboard prices may fluctuate 5-15% within 1-2 weeks. AI quotation uses last week's prices, and prices may have already changed by the time the order is actually placed.

Real case: In a certain month of 2024, paperboard prices rose 18% within 2 weeks, but AI quotation still used the prices from 2 weeks ago, resulting in an underquoted price. After the customer placed the order at the AI quotation price, we had to adjust the price, resulting in a poor customer experience.

Reason 5: Customer's hidden needs are not identified.AI systems quote based on customer-input parameters, but customers often have unspoken needs—such as being particularly sensitive to color difference (requiring stricter QC), having extremely tight delivery times (requiring overtime production), or having special logistics requirements (requiring customized packaging). These hidden needs lead to additional costs, but AI systems cannot identify them.

Real case: The customer did not mention delivery requirements during AI quotation, but said after placing the order that delivery was needed in 3 days. AI quotation did not include capacity scheduling fees for urgent orders, and 2 additional workers were added for overtime in actual production, increasing costs by 8,000 yuan.

4 Types of Orders Suitable for AI Quoting

Suitable Type 1: Orders for standard gift boxes, conventional printing, and simple processes. The deviation of AI quoting is usually within 10-15%, which can serve as a preliminary budget reference.

Suitable Type 2: Repeat orders (products previously made). The AI system has historical data, making the quote the most accurate (deviation 5-10%).

Suitable Type 3: Preliminary budget screening. When customers want to understand the approximate price range, AI quoting is sufficient.

Suitable Type 4: Cross-comparison among multiple suppliers. AI quotes from multiple printing factories can be used simultaneously for horizontal comparison to view the price range.

4 Order Types Where AI Quoting Does Not Apply

Type 1 — Not applicable: orders involving special-shaped structures or complex process combinations. The deviation of AI quoting is typically 30%+, making its reference value limited.

Type 2 — Not applicable: orders involving special materials (e.g., flame-retardant materials, food-grade materials, biodegradable materials). The AI system has limited understanding of the costs associated with special materials.

Type 3 — Not applicable: orders with ultra-small batches (< 500 units) or extra-large orders (> 500,000 units). The batch threshold effect leads to significant deviations in AI quoting.

Type 4 — Not applicable: orders with urgent delivery requirements, special quality control demands, or customized logistics. The AI system is unable to identify implicit requirements.

5 Things to Note When Customers Use AI Quoting

Note 1: Treat AI quoting as a price range reference, not a final quote. It is recommended to add a 15–25% margin to the AI quote as your budget.

Note 2: Complex orders must be quoted manually. For orders involving custom shapes, special materials, or complex processes, the reference value of AI quoting is limited; going directly to a sales representative for a manual quote is more efficient.

Note 3: Confirm details with the printer before placing the order. Before placing the order, confirm all details (materials, process, batch quantity, delivery time, quality control) with the printer's sales representative to avoid discrepancies between the AI-quoted price and the actual price after ordering.

Note 4: Keep screenshots after using AI quoting. Retain the AI quote screenshot as the reference price provided by the printer; if the actual quote deviates significantly later, it can serve as a basis for communication.

Note 5: Long-term customers should prioritize building an internal database. After long-term cooperation with the printer, you can work with the printer to establish a cost database exclusive to your company, which is more accurate than publicly available AI quotes.

The Development Direction of AI Quotation

Although current AI quotations have deviations, the development direction is positive. Over the next 3-5 years, AI quotation systems may improve accuracy through the following approaches:

1) Real-time material price integration (connected with material suppliers' ERP); 2) Historical order similarity matching (considering not only product parameters but also the similarity of process combinations); 3) Implicit requirement identification (using natural language processing to identify keywords reflecting customers' implicit needs); 4) A dual model of AI quotation + manual review (AI provides the initial draft, followed by manual review and adjustment).

LeXiang's AI quotation system has already implemented item 4—after the AI generates the initial draft, sales representatives perform a secondary review, adding hidden costs to deliver the final quotation. The real-time AI price integration feature is expected to launch in the second half of 2026, further reducing deviations.

Conclusion

AI quotation is a tool, not an answer. Its value lies in providing a quick approximate price, not in replacing manual quotation. Understanding this, AI quotation can truly help customers and printing factories.

LeXiang's AI quotation system has provided quotation services to over 10,000 customers cumulatively, with the average deviation controlled within 18%. If you are interested in our AI quotation system, you can contact us to obtain the access link.

Further Reading

5 Real Applications of AI in the Packaging Industry: Which Are Hype and Which Are Trends

Digital Printing vs Offset Printing vs Flexographic Printing: The Cost Scissors Curve of 3 Printing Methods

Brand Procurement: How to Start Custom Packaging from Scratch? A 6-Week Process Flowchart

Packaging Procurement Contract Template: 8 Key Clauses You Cannot Miss