The ROI of Packaging Digitalization: Why 55% Are Still Just Collecting Data
When our finance team asked me to quantify the return on our digitalization budget last quarter—roughly $180K annually across our packaging operations—I realized I couldn't. Not because we weren't spending, but because the benefits were scattered across departments, buried in "efficiency gains" that never showed up on my P&L.
Turns out, we're not alone. According to Packaging World's 2026 Outlook survey, which I pulled up after that awkward meeting, 55% of companies are still stuck in the data collection phase of digitalization. That's the majority of the industry—not building AI-driven factories or autonomous lines, but just trying to get clean numbers into a system that isn't Excel.
The Surface Problem: Everyone's Moving, Nobody's Arriving
From where I sit—managing procurement for a 300-person CPG company with eight packaging lines—digitalization feels like one of those "always tomorrow" projects. We've got remote monitoring on two lines, a new warehouse management system that cost us $85K to implement, and marketing is using AI for everything from copywriting to predicting seasonal demand.
But when I look at the actual impact on my bottom line? The numbers get fuzzy. The survey breaks it down into thirds:
- ~33% don't even know their company's digitalization plan (which, honestly, tracks with what I hear from our operations team)
- Another 33% are running pilot projects or have partially connected systems
- The final third are what you'd call "leaders"—but less than 10% of that group actually feels ahead of the curve
What struck me: the companies spending the most aren't necessarily seeing the fastest returns. In fact, some of our competitors with deeper pockets seem to be throwing money at more platforms rather than integrating the ones they already have.
The Deep(er) Reason: We're Building on Sand
Here's what clicked for me after reading the full report: digitalization isn't one continuous upgrade. It happens in phases—and most of us are still pouring the foundation.
The foundation is data. Clean, organized, accessible data. Not the "I-exported-it-from-ERP-and-hope-for-the-best" kind, but the kind that AI can actually use to make decisions.
The survey shows processing operations (upstream) got a head start on packaging (downstream). That makes sense—when you're mixing ingredients or baking products, sensors and controls have been standard for years. Packaging caught up later. But now the bottleneck is moving again: we can collect data from filling machines and cartoners, but what good is it if our supply chain team can't access it in real time?
What nobody tells you in the vendor demos: the "soft" parts of the business are way ahead. Marketing, sales, consumer insights—they've been collecting and using digital data for a decade. Meanwhile, on the factory floor? I still have vendors emailing me PDF specs that I have to manually enter into our system. That disconnect is expensive.
The Hidden Cost: Analysis Paralysis & Sunk Investments
Let me give you a real example from last year. We spent $22,000 on a remote access system for our primary filler. The pitch was "real-time diagnostics" and "predictive maintenance." Six months in, we realized:
- Our IT team blocked external access due to security concerns (fair)
- The data exported in a format our maintenance software couldn't read
- The "predictive" alerts were basically just the same warnings the machine already displayed locally
That's $22K—plus the 40 hours our engineer spent trying to make it work—for basically zero operational improvement. The vendor wasn't wrong; the technology worked. Our infrastructure wasn't ready.
This is the unspoken cost of digitalization: not just the price tag, but the time and frustration when point solutions don't connect to your broader ecosystem. The survey mentions companies uploading 40-year-old handwritten data into AI systems. That's not digital transformation—that's digitizing legacy problems.
Where the ROI Actually Shows Up (Sooner Than You Think)
After tracking our own stumbles and comparing notes with peers, I've found three areas where digital investments pay back fast enough to justify the CFO's scrutiny:
1. Supply Chain Visibility (Not Just Tracking)
ERP and warehouse management systems get mentioned in the survey as mature adoption areas. But here's the nuance: it's not about having the system, it's about what you do with the data. We connected our WMS to our packaging schedules last year, and suddenly we could see how carton shortages on Line 3 would affect Line 5's changeover three days later. That visibility saved us roughly $45K in expedited shipping last quarter alone—because we stopped reacting and started anticipating.
2. The Trojan Horse of Sunrise 2027
This is the sleeper hit in the digitalization conversation. Sunrise 2027—the shift to 2D barcodes—isn't just about compliance. Those QR-style codes can pack multiple "application identifiers" (AIs in GS1 speak) for traceability, consumer engagement, even temperature monitoring for cold chain.
For us, that means the same barcode that gets scanned at retail can also tell us where that package was five steps earlier in our warehouse. No extra hardware, no new scanners—just smarter use of label real estate we're already paying for. That's digitalization with zero marginal cost, which is the only kind my budget likes.
3. Data as a Negotiation Tool
This one surprised me. When we started collecting actual run-speed data from our shrink wrapper (not the vendor's claimed speed, but real throughput), we found it was operating 18% below spec during peak humidity. That gave us leverage in service contract negotiations—and saved about $8,000 annually in adjusted maintenance fees.
Turns out, the data foundation everyone's building isn't just for future AI. It's for today's business decisions. The survey's 55% focusing on data collection? They might be closer to payoff than they realize.
The Bottom Line: Start Where You Already Are
If the survey tells us anything, it's this: stop worrying about whether you're "behind" in digitalization. With a third of the industry unsure of their own company's plan, you're probably further along than you think.
My advice after eight years managing packaging budgets and watching digital initiatives come and go:
- Audit what you already have before buying anything new. That Excel spreadsheet? That's data. That maintenance log? Data. Start there.
- Connect two systems that already talk to each other manually. Can your ERP automatically generate POs when packaging inventory hits a threshold? That's digitalization with immediate ROI.
- Use Sunrise 2027 as your forcing function. The barcode upgrade is happening anyway. Make it do double duty.
The factory of the future—fully autonomous, AI-driven—is still being built. But the foundation? That's getting poured right now, in data lakes and connected platforms and smarter barcodes. And from where I sit, that's where the real money gets made: not in the flashy demo, but in the boring, incremental, line-item-by-line-item improvements that actually show up on the balance sheet.
—Based on Packaging World's 2026 Annual Outlook survey data, accessed March 2026. Digitalization section led by editor Matt Reynolds. Full report available at PWGo.To/9052.
