Suchama AIDesigning AI systems that turn complex supply chains into decisions.
Led end-to-end design for Suchama AI, transforming manufacturing data into structured, actionable insights for enterprise supply chain teams.
Role
Product Designer
Period
Feb – Oct 2025
Scope
End-to-end
- 01 · Problem
Manufacturing decisions are buried in data.
Enterprise supply chain teams sit on enormous datasets, but they're scattered across disconnected tools, formatted inconsistently, and never synthesised into a decision.
Disconnected tools
Excel, ERP, custom dashboards: none talk to each other.
High manual effort
Analysts spend 60–80% of time cleaning, not deciding.
No actionable insights
Data exists. Clarity doesn't. Outputs are reports, not decisions.
Slow decision cycles
By the time the analysis lands, the planning window has closed.
6–8
tools an analyst navigates per planning cycle
4 hrs
average time to generate one production plan manually
0
platforms that connected data, AI reasoning, and decision output in one flow
- 02 · Research & Process
Understanding the enterprise supply chain workflow.
Research spanned six weeks of contextual interviews with production managers, supply chain analysts, and operations directors across three manufacturing enterprises — to understand not just the tools they use, but the mental models they rely on when making decisions.
Discovery
6 stakeholder interviews · 3 enterprise sites · contextual observation
Synthesis
Affinity mapping of pain points · journey mapping · insight clustering
Ideation
Design sprint with founders · 40+ concepts · rapid prototype sessions
Iteration
4 rounds of usability testing · weekly feedback loops with pilot users
Key Research Findings
“I spend the first two hours just getting the data into one place. By the time I can actually think, the window for the decision has passed.”
“We have dashboards, but they show me history. What I need is something that tells me what to do next.”
“The AI tool we tried gave paragraphs. I need a table. I need a number. Something I can put in front of the board.”
18
Interviews conducted
6wk
Research phase
3
Enterprise pilots
40+
Concepts explored
- 03 · Core UX Challenge
How do you make AI outputs clear enough to trust and act on?
Most AI tools produce verbose summaries. The real challenge was designing structured, explainable outputs that an operations director could act on in under two minutes, without needing to re-read the source data.
- 04 · Solution Framework
How SAI turns complexity into clarity.
Three layers working in sequence — from raw manufacturing data to structured, actionable decisions — all through a single conversational interface.
Layer 01
Login & Setup
Get Started Instantly
A clean, enterprise login experience. No complex onboarding — sign in with your credentials and SAI is ready to assist with production planning from the first session.
Suchama AISimplifying Manufacturing Supply Chain Planning & Scheduling Operations.
Learn more about Suchama AIWelcome back!
Login to get started
Layer 02
AI Conversation
Talk to SAI
SAI understands domain-specific language. Ask in plain language about production schedules, inventory constraints, or back-order prioritisation — and get structured responses instantly.
Suchama.aiPlanning
Layer 03
Structured Output
Decisions, Not Documents
SAI converts conversational requests into structured production plans: batch numbers, machine assignments, norms, and manhour allocations — exported and linked for immediate action.
- Batch numbers, machine assignments, and manhour norms — all structured
- Every plan links to source data, shareable via one click
- Output ready to act on without needing re-interpretation
Suchama.aiPlanning
- 05 · Key Experience
From data to decisions.
Step 01
Brand-first onboarding experience
The login screen reflects the Suchama AI brand identity — gradient background, clear logo, and a minimal form that gets users to SAI with zero friction.
Suchama AISimplifying Manufacturing Supply Chain Planning & Scheduling Operations.
Learn more about Suchama AIWelcome back!
Login to get started
Step 02
Conversational AI for planning
SAI's chat interface makes complex production planning feel like a conversation. Users describe their constraints in plain language; SAI handles the structure.
Suchama.aiPlanning
Step 03
Structured plans ready to execute
Production plans are surfaced as editable tables — batch numbers, machine types, norms, manhours — linked to source data and shareable with one click.
Suchama.aiPlanning
- 06 · Design Decisions
Three decisions that shaped the system.
01
Structured AI Output
AI responses are never freeform paragraphs. Every output is broken into typed blocks: risk, impact, recommendation, and source, allowing users to scan, not read.
“Structure creates trust. Freeform creates doubt.”
02
Cognitive Load Reduction
The interface surfaces only what's needed at each decision point. Data density is managed through progressive disclosure: summary first, detail on demand.
“A decision-maker's attention is the most finite resource.”
03
Progressive Disclosure
Users see the risk summary first. Clicking any item reveals the affected SKUs. Clicking a SKU shows the raw data. The system rewards curiosity without punishing speed.
“Not everyone needs every detail. Everyone needs the right summary.”
- 07 · Product Screens
Curated product moments.
Each screen earns its place. The system thinking is visible in their progression, not their quantity.
Suchama AISimplifying Manufacturing Supply Chain Planning & Scheduling Operations.
Learn more about Suchama AIWelcome back!
Login to get started
01 · Login & Brand
Onboarding · Brand-first design
Suchama.aiPlanning
02 · SAI Chat
AI layer · Conversational planning
Suchama.aiPlanning
03 · Plan Output
Structured table · Shareable link
Suchama.aiPlanning
128
Open Orders
94%
On-Time
42
Active Batches
3
Alerts
Batch Throughput
Capacity Used
Machine Utilisation
04 · Planning Dashboard
Executive view · AI active · Live KPIs
Screen Design Principle
Every screen has one primary action and one primary insight.
Multi-purpose screens fragment attention. Each Suchama view is designed around a single decision moment.
- Login screen: Onboard with brand clarity
- Chat screen: Ask SAI in plain language
- Output screen: Act on structured plans
- 08 · Brand Identity
The Suchama AI brand language.
A brand built for enterprise trust. The visual system balances technical credibility with approachable clarity.
Primary logotype
Light background · Brand blue #2C6ACE
Reversed logotype
Dark background · White wordmark
Colour System
Brand Blue
#2C6ACE · Primary · CTAs · Links
Ice Blue
#EBF2FF · Light surface · Brand bg
Soft Violet
#EEEAFF · Accent gradient · Hover
Deep Navy
#0F1B2D · Headings · Display text
Typography
Display / Headings
Sora Bold
Product headlines · Section titles · Hero copy
UI / Interface
Inter Regular
Body copy · Labels · Navigation · Data
Monospace
SKU-2891 · 94% · Q3
Data values · SKUs · Codes · Timestamps
- 09 · Outcome
From data to decisions, at enterprise scale.
Simplified complex workflows
Analysts moved from 4-hour cycles to sub-20-minute decision outputs.
Improved clarity of AI outputs
Structured output format reduced re-querying rate by removing ambiguity.
Enabled faster decision-making
Production decision velocity improved significantly across enterprise teams.
- Reflection
The hardest part of AI product design is not making the AI smarter. It's making its outputs structured enough that humans will act on them without second-guessing. Suchama proved that formatting is a UX decision — the system's intelligence was already there. What the design added was a framework for presenting that intelligence as decisions, not documents.
Project
Suchama AI
Role
Product Designer
Timeline
Feb – Oct 2025
Domain
Enterprise SaaS
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