Example Scenarios

See What Kenkai Labs Can Do For You

While we're a new startup, we've designed our approach based on proven methodologies. These example scenarios demonstrate the types of problems we can solve and the results we target for our clients.

Our Capabilities & Approach

6
Industry Scenarios
100%
Client Focus
Fast
Time to Market
Proven
Methodologies

Example Scenarios

These scenarios demonstrate our approach and the results we aim to achieve. Each example is based on common challenges businesses face and proven solution methodologies.

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FinTech

PayFlow (Example Scenario)

🚀

How We Could Accelerate Your Digital Payment Platform Launch

3 months (estimated)
5 engineers

The Challenge

A financial services startup needs to launch their UPI-based payment platform within 3 months to compete with established players. They have a vision but unclear technical requirements and no development team.

Our Solution

Kenkai Labs would conduct a 1-week Problem Discovery Sprint to map out technical architecture, identify compliance requirements (RBI guidelines, PCI-DSS), and create an execution-ready roadmap. We'd then build the MVP using microservices architecture with Node.js, PostgreSQL, and React Native.

Target Results & Impact

3 months
Idea to production launch
99.9%
Target uptime with security
50K+
Projected users in 6 months
PCI-DSS
Full compliance from day 1

Technologies Used

React NativeNode.jsPostgreSQLRedisAWSRazorpay
Our Approach

"This example demonstrates how we help FinTech startups navigate complex compliance requirements while building secure, scalable payment systems. Our discovery sprint would ensure you don't miss critical regulatory requirements."

K
Kenkai Labs Approach
FinTech Solution Architecture
🏥
HealthTech

MediConnect (Example Scenario)

📈

How We'd Scale Your Telemedicine Platform for Rapid Growth

6 weeks (estimated)
4 engineers

The Challenge

A telemedicine startup is experiencing rapid growth. Their platform can't handle the load - frequent crashes, slow response times, and poor video quality are driving users away. They need to scale fast without rebuilding from scratch.

Our Solution

We'd perform a comprehensive technical audit to identify bottlenecks. Implement database optimization, move to microservices architecture, integrate WebRTC for better video calls, and set up auto-scaling infrastructure on AWS. Add real-time monitoring and automated deployment pipelines.

Target Results & Impact

10X
Target capacity increase
85%
Potential cost reduction
<2 seconds
Target page load time
4.5+/5
Target app rating

Technologies Used

Next.jsPythonMongoDBWebRTCAWS LambdaCloudFront
Our Approach

"This scenario shows how we tackle performance bottlenecks systematically. We'd start with a technical audit to find the real problems, then implement targeted solutions that scale efficiently."

K
Kenkai Labs Approach
HealthTech Performance Optimization
🛍️
E-commerce

FashionHub (Example Scenario)

💰

How We'd Increase Your E-commerce Conversion Rates

8 weeks (estimated)
3 engineers + 1 ML specialist

The Challenge

An online fashion retailer has good traffic but poor conversion rates (1.2%). High cart abandonment, slow checkout process, and lack of personalization are major issues. They need data-driven optimization without disrupting existing operations.

Our Solution

We'd conduct user behavior analysis and implement A/B testing framework. Optimize checkout flow from 5 steps to 2, implement smart product recommendations using ML, add abandoned cart recovery, and improve mobile experience. Integrate advanced analytics to track every user interaction.

Target Results & Impact

100%+
Target conversion increase
50%+
Cart abandonment reduction
₹30L+
Projected monthly revenue lift
2.5X
Average order value target

Technologies Used

Next.jsShopify APIPython MLBigQueryStripeSendGrid
Our Approach

"This example demonstrates our data-driven approach to e-commerce optimization. We'd use A/B testing and user analytics to make informed decisions, not guesses. Every change would be measured and validated."

K
Kenkai Labs Approach
E-commerce Optimization Strategy
🎓
EdTech

SkillBridge (Example Scenario)

🎯

How We'd Build Your EdTech MVP to Secure Funding

2 months (estimated)
4 engineers

The Challenge

An education startup has a vision for an AI-powered learning platform but struggles to articulate technical requirements to investors. They need a working MVP to demonstrate their concept and secure funding.

Our Solution

We'd run a Problem Discovery Sprint to clarify the value proposition and technical scope. Build an MVP with core features: video lessons, AI-based assessments, progress tracking, and gamification. Design for scalability from day one with modular architecture.

Target Results & Impact

2 months
Target: concept to demo
$500K+
Funding opportunity
5,000+
Projected beta users
75%+
Target completion rate

Technologies Used

ReactFirebaseNode.jsOpenAI APIStripeVercel
Our Approach

"This scenario shows how we help startups build investor-ready MVPs. We focus on core features that demonstrate value, not building everything at once. Our discovery sprint ensures you pitch what investors want to hear."

K
Kenkai Labs Approach
EdTech MVP Strategy
🚚
Logistics & Supply Chain

SwiftLogistics (Example Scenario)

How We'd Automate Your Warehouse & Route Operations

10 weeks (estimated)
5 engineers

The Challenge

A logistics company manages inventory and delivery routes manually using spreadsheets. This leads to inefficiencies, errors, and inability to scale. They need a custom solution that integrates with existing processes.

Our Solution

We'd build a comprehensive warehouse management system with real-time inventory tracking, barcode scanning, automated route optimization using Google Maps API, and driver mobile app. Integrate with accounting software and create dashboards for real-time visibility.

Target Results & Impact

50%+
Target delivery time reduction
₹5L+/month
Projected cost savings
95%+
Target inventory accuracy
30%+
Capacity increase goal

Technologies Used

Next.jsNode.jsPostgreSQLReact NativeGoogle Maps APIWebSocket
Our Approach

"This example shows how we build custom automation solutions. We'd start by understanding your current workflows, then design a system that fits your business - not force you to adapt to generic software."

K
Kenkai Labs Approach
Logistics Automation Strategy
☁️
SaaS

CloudDocs Pro (Example Scenario)

🔄

How We'd Help You Pivot Your SaaS Product Successfully

3 months (estimated)
4 engineers + product advisor

The Challenge

A document collaboration SaaS has been in market for 18 months with limited traction. User engagement is low and churn is high. They need to understand why and pivot quickly before running out of runway.

Our Solution

We'd conduct user research and analytics deep-dive to understand actual usage patterns. Help identify what users really want vs. what you think they want. Guide the pivot to a focused, niche solution. Rebuild core features with better UX and add API for integrations.

Target Results & Impact

200%+
Target user growth
40%+
Churn reduction goal
$40K+
Target MRR
4.5+/5
Customer satisfaction goal

Technologies Used

ReactNode.jsMongoDBRedisStripeElasticsearch
Our Approach

"This scenario demonstrates how we help companies make difficult pivot decisions. We'd use data and user research to validate or challenge your assumptions. Sometimes the best strategy is changing direction based on evidence."

K
Kenkai Labs Approach
SaaS Product Strategy

Ready to Make Your Project a Reality?

Let's discuss your challenges and create a roadmap to achieve measurable results. We'll start with a discovery call to understand your needs.

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