The Challenge

Note is a paper cup manufacturer serving a diverse market—from small events to large franchise networks. The company has built a solid reputation for quality and reliability. However, behind the scenes, the operation was held together by spreadsheets, manual calculations, and tribal knowledge.

The core problem was fragmentation. Financial data lived in multiple systems across different entities. Pricing was calculated by hand, with formulas that changed from quote to quote. Production costs were treated as a single number, not broken down by the factors that actually drove them—weight, size, print quality, and volume. Nobody had a clear picture of what a cup actually cost to make.

"We were flying blind," one team member explained. "We had data everywhere, but no real visibility into margins or profitability by product. Every quote felt like a guess."

The impact was real. Production waste ran as high as 5%. Pricing decisions took hours and often didn't reflect true costs. The finance team spent entire weekends manually extracting and classifying data from multiple sources. And the sales team couldn't answer basic questions: What's our real margin on this order? Can we compete on price? Should we take this customer?

Without clear cost visibility, the company couldn't scale confidently. Growth meant more chaos, not more profit.

The Solution

The team knew something had to change. They started by mapping the real drivers of cost and profitability. What actually varies when you make a cup? Weight of the paper. Size. Print quality. Volume per order. Lead time. They identified the key inputs and built a model around them.

The first move was automation. A consultant helped the team build a parametric pricing model in a spreadsheet. Instead of recalculating everything by hand, they entered the inputs—width, diameter, weight, quantity per bobbin—and the model spit out the cost per cup and the selling price. It sounds simple, but it was transformative.

"Once we had one source of truth for pricing, everything else fell into place," a finance leader said. "We could run scenarios in minutes instead of hours. We could see exactly what margin we'd make on any order."

But pricing was just the start. The team tackled data automation next. They built macros and integrated AI tools to extract, classify, and consolidate financial data from multiple sources. Tasks that used to take five hours now took one. The finance team went from spending weekends on data entry to focusing on analysis and strategy.

Production waste came next. A specialist from São Paulo worked with the team to tighten machine setup and reduce changeover losses. Training and process discipline brought waste down from 5% to 0.62% in a single year. That's not just efficiency—that's material cost savings flowing straight to the bottom line.

The company also restructured how it thought about costs. Instead of treating all production the same, they segmented it. Large orders got one cost model. Small cooperative orders got another. This let them price competitively for different customer segments without sacrificing margin.

In parallel, the sales team shifted to a consultative approach. Instead of just quoting what the customer asked for, they asked questions: What's your actual monthly usage? What's your budget cycle? Are you locked into a supplier? This deeper understanding led to bigger orders, longer contracts, and more loyal customers.

"The shift from transactional to consultative selling changed everything," a sales leader reflected. "We went from one-off quotes to annual contracts. Customers started seeing us as a partner, not just a vendor."

The Transformation

The results came fast. Production waste dropped to 0.62%—a 88% improvement. That alone freed up material and reduced per-unit costs across the board.

Data processing time fell by 80%. The finance team went from spending entire weekends on manual work to having clean, consolidated reports ready by Monday morning. That freed them up to do real analysis: What's driving margin? Where are we losing money? What should we price differently?

Pricing became consistent and defensible. The team could now explain exactly why a cup cost what it did. They could run scenarios—"What if we increase volume by 20%? What if we change suppliers?"—and see the impact instantly. Margin visibility improved dramatically.

Sales velocity increased. With better cost data, the team could say yes to opportunities they would have turned down before. They could also say no confidently to deals that didn't make sense. The consultative approach led to larger average orders and longer customer relationships.

The company also built a foundation for growth. With clear cost models, automated data processes, and disciplined sales practices, they could scale without losing control. New team members could follow the same playbook. Decisions could be made faster because the data was already there.

Looking ahead, the company is exploring new channels—distributing through partners, homologating with franchise networks, and expanding into new geographies. None of this would be possible without the operational foundation they built.

"We went from managing chaos to managing growth," a leader summed it up. "The systems we put in place aren't just about efficiency. They're about confidence. We know our numbers. We know our margins. We can make bold moves because we understand the impact."

The journey from manual spreadsheets to data-driven operations wasn't quick or painless. But it unlocked something bigger: the ability to grow without losing control, to compete on value instead of just price, and to build a business that scales.