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The Inputless Manufacturing Solution

When assumptions meet agricultural manufacturing reality
September 12, 2025 by
Inno Labs KH Co., Ltd.

The Problem We Didn't Expect

Working with Evola BSF on their manufacturing digitization, we started with what seemed like a classic, logical assumption:

Just build a shop floor app where workers input production data for their precision biological manufacturing.

Made perfect sense for a six-stage BSF protein production process where timing and environmental control are critical.

Discovery Phase Reality Check

Two weeks observing their production floor revealed something important: Many agricultural manufacturing workers face literacy challenges that make traditional digital interfaces impractical. Others aren't comfortable with digital systems, regardless of their reading abilities.

More critically, BSF production workers need to focus on larvae behavior and environmental conditions, not screens. Any system requiring text input or reading instructions during time-sensitive biological processes would disrupt the precision they had spent years perfecting.

Collaborative Redesign

Instead of pushing forward with the original plan, we worked with Evola's team to reshape the solution. This is exactly why we avoid rigid "go live" implementations — we build something that actually works for everyone.

The "Inputless" Concept

Through workshops with Evola's production managers and floor observations, we co-designed what we called an "inputless" manufacturing intelligence system:

  • RFID batch tracking: Automatic logging of batch progression without worker scanning, reading, or data entry
  • Smart weighing integration: Scales that feed data directly into inventory systems as part of normal workflow
  • Environmental sensor network: Continuous monitoring that workers can ignore until visual/audio alerts matter
  • Visual workflow guidance: Simple color-coded lights that integrate with existing work patterns — no text required
  • Automated data capture: ERP updates happening invisibly behind familiar processes

The key insight: preserve existing expertise while capturing the data management needs invisibly, regardless of literacy levels.

How We Shaped the Design with Evola

  • Production manager sessions: Understanding what visibility they actually needed vs. what they thought they wanted
  • Floor observation: Mapping real workflows, not documented ones
  • Worker consultation: Learning what actually helped vs. hindered their precision work, regardless of reading abilities
  • Iterative prototyping: Testing concepts that worked for everyone on the team

We documented every assumption that got challenged and every workflow insight that reshaped our approach.

The Emerging Approach

This project reinforced our core philosophy: the best technology implementations honor existing expertise while solving real operational challenges for all team members.

Working principle: Build for actual workflows and real people, regardless of literacy levels or digital comfort.

Rather than forcing adoption of a predetermined system, we co-created a solution that feels natural to every worker while giving management the operational intelligence they need.