The At-Scale Era: Gen AI Set to Revolutionize Packaging Pricing and Sales, McKinsey Reports

Following a massive surge in AI adoption throughout 2025, the packaging industry has reached a tipping point. According to a new deep-dive report from McKinsey & Company, 2026 will be the year that generative AI (gen AI) moves from "experimental pilot" to a core driver of commercial excellence, specifically transforming how companies price their products and manage sales funnels.

The report, which surveyed over 110 senior leaders across the U.S. and Europe, suggests that the sector is shifting its focus from "designing boxes" to "optimizing dollars."

1. The Pricing Power: SKU-Level Precision
Historically, pricing in the packaging world has been a slow, manual process prone to human error and margin erosion. McKinsey identifies gen AI as the solution to these "long-standing challenges."

Dynamic SKU Pricing: Instead of relying on static price lists, new gen AI tools scan years of past deals, real-time raw material costs, and competitor data to suggest optimized prices at the individual SKU and customer level.

Protecting Margins: The system acts as a "financial guardrail," automatically flagging quotes that are "margin-dilutive" (unprofitable) before they are even sent to a client for approval.

Speed to Quote: By automating the generation of technical quotes, what used to take days of back-and-forth between sales and finance can now be completed in minutes.

2. The 8% Growth Target: Beyond Cost-Cutting
While many industries view AI as a way to cut headcount, packaging leaders are looking at it as a top-line growth engine.

Revenue Gains: Surveyed executives expect gen AI applications in "commercial excellence" (sales and marketing) to deliver a revenue boost of 8% or more.

Lead Generation: The technology is being used to map "value pools" and generate verified customer lists from both structured and unstructured data, significantly shortening sales cycles.

Unified Sales Funnels: Gen AI can now synthesize data from disparate regions and business units to create a single, consolidated view of the sales pipeline, helping teams identify "white space" opportunities they previously missed.

3. "Walking the Talk": The 2025-2026 Transition
The report highlights a dramatic shift in executive sentiment over the last 18 months:

The 2024 Experiment: In 2024, the majority of packaging firms were still in the "experimentation" phase, with few tools actually deployed in the field.

The 2025 Surge: By the end of 2025, over 80% of leaders reported that their companies had gen AI solutions either in development or actively launching.

The 2026 Mandate: McKinsey partners note that 2026 is officially the year of "at-scale deployment," where these tools move from the lab into the hands of every sales representative and procurement officer.

4. Freeing the "Human" Sales Force
Perhaps the most significant impact is the reallocation of human time. McKinsey found that packaging sales teams often spend more time on administrative tasks—writing visit reports and technical quotes—than with customers.

Admin Automation: By handing off routine "paperwork" to AI agents, sales reps are being freed up for high-value activities like on-site design consultations and complex contract negotiations.

Shift in Skills: The role of the salesperson is evolving from a "quote-generator" to a "strategic advisor," requiring a higher level of emotional intelligence and industry insight.

5. Persistent Hurdles: Data and Privacy
Despite the optimism, McKinsey warns that the path to 8% growth isn't without obstacles.

Data Access: Many firms still struggle with "siloed data" that prevents AI from seeing the full picture of a customer's history.

The Talent Gap: There remains a significant shortage of "AI-native" talent within traditional packaging firms, leading to a "buy vs. build" dilemma regarding technology.

Industry Verdict: "Packaging companies are finally 'walking the talk.' They have realized that gen AI isn't just about making the box more sustainable; it's about making the business model more profitable." — Abhinav Goel, Partner at McKinsey.