"We were spending Friday nights reprinting mislabeled jars," said Erin, Operations Manager at Maple & Pine Foods in Ontario. "It wasn't just morale; it was money, rework, and frustrated retailers." Miles away in Texas, Orbit Cosmetics had a similar headache—300 orders a day, samples and kits changing weekly, and more label versions than their small team could track.
Based on insights from avery labels projects we’ve seen across North America, their stories felt familiar: too many SKUs too fast, inconsistent print quality, and a tangle of templates that no one fully trusted. Here’s how both teams pulled out of the spiral—different businesses, similar pressure, and a shared decision to rethink process before buying more equipment.
Company Overview and History
Maple & Pine Foods started as a farmer’s market brand and grew into regional retail. In three years they went from 8 to 42 SKUs—hot-fill sauces, dry rubs, and seasonal jars. They liked the clean, modular look of square label panels and specifically tested square avery labels for lid and side panels on short seasonal runs. Early on, they printed in-house on desktop devices and outsourced the rest.
Orbit Cosmetics is a DTC brand shipping nationwide. The team runs frequent drops and bundles, with sample cards, bottle wraps, and shipping paperwork changing weekly. They used office gear for proof runs and laser sheet labels for make-to-order kits. Their shipping workflow started with templates they found while searching "ups shipping labels free" and moved toward standardized formats as volume grew.
Both teams were lean—10–25 production staff, no dedicated prepress department. They needed a path that didn’t stall production or demand a new building. Whatever the solution, it had to be simple enough for cross-trained operators, not just one expert.
Quality and Consistency Issues
The issues weren’t exotic. Maple & Pine saw color drift across batches—ΔE swinging in the 3–5 range on key reds—and FPY hovering around 70–80% for short seasonal runs. Orbit’s pain was different: template version control, awkward barcodes, and a knowledge gap around how to create mailing labels in Word for promotions. Both teams were burning time fixing small, repeating errors.
Labelstock and application added another layer. Hot-fill jars caused some paper facestocks to curl. On the cosmetics side, fine text on ingredient panels and tiny DataMatrix codes needed crisp edges. A few shipping labels arrived smeared, and scanners kicked them back—waste in the 5–7% band on busy days meant overtime and extra material pulls.
Let me back up for a moment: neither team had a formal color program. No G7 targets, no documented media profiles, and no press checks beyond the occasional eyeball test. That’s common in fast-growing operations, but it leaves too much to chance.
Solution Design and Configuration
We didn’t push a single magic fix. Maple & Pine standardized substrates and split work by run length: branded prime labels moved to a local Digital Printing partner (with UV Ink for durability), while the in-house team kept proofing and emergency runs on laser sheet labels. Orbit retained their sheet-fed process for variable kits and migrated shipping to a compact direct-thermal unit for live dispatch; the cosmetics-facing wraps stayed on laser for color fidelity on small batches.
Workflow came next. Both teams built a template library with lockable fields. We ran a two-hour training on data discipline and variable fields, including a practical walk-through on how to mail merge from Excel to avery labels. That sounds basic, but it saved Maple & Pine from editing hundreds of fields by hand, and Orbit used the same method to spin up limited bundles without rewriting every layout.
For Maple & Pine’s seasonal jars, we validated die-lines for their square panels and confirmed the adhesive spec to handle hot-fill. Changeover time dropped—from about 18 minutes fiddling with settings to 10–12 minutes with saved media profiles and checklists. But there’s a catch: keeping dust and humidity in check mattered more once consistency improved. They wrote a five-minute end-of-shift routine; missed it once, and the next morning’s FPY dipped again. Lesson captured.
On shipping, both teams kept using UPS-compliant formats. Orbit still references official templates—yes, the same path many find by searching "ups shipping labels free"—but now those templates live inside their standard packout workflow with fixed barcode sizes and margins. Result: fewer scan issues, fewer reruns, and less second-guessing on the line.
Quantitative Results and Metrics
Six to nine months after the changes, both teams saw steady, not flashy, gains. Waste on short runs came down by roughly 20–30%. Color variation tightened, with ΔE holding under 2.0 on branded panels for the majority of batches. FPY moved into the low 90s on stable SKUs. Across both sites, OEE crept from the mid-60s to around 75–80% on predictable weeks. Throughput during promotions rose in the 15–25% range, helped by fewer reprints and clearer templates.
Costs tell a nuanced story. Per-label cost for true short-run digital stayed higher than long-run flexo would be, but the teams saved on obsolescence and rework. ROI for the combined changes—not one machine, but process, training, and media—landed in the 9–14 month window. That band reflects their mix of outsourced digital and in-house laser, plus an improved changeover routine that trimmed overtime.
What I like most: the wins are durable. Neither team pretends it’s perfect. There are still rush weeks when someone overrides a template and pays for it later. But both operations now trust their label workflows. And yes, when they add SKUs or special shapes—like those square panels—there’s a path that doesn’t break the shop. For teams asking where to start, the playbook these two used around avery-style templates, G7-minded color targets, and data hygiene has held up. It’s a practical way to make avery labels workflows work for real, messy production.