The Complete Guide to Flipkart GRiD 7.0 Coding Round Preparation
Flipkart GRiD 7.0 is India's largest Tech Case Competition and flagship engineering campus challenge, designed for the best and brightest engineering students across India. This prestigious competition offers participants a chance to leap into Flipkart's World of Maximisation, explore complex problem-solving, and tackle some of the finest e-commerce challenges of today.
With opportunities for grand prizes, recognition, and job offers, GRiD 7.0 represents where talent meets innovation and entrepreneurship. If you're ready to join India's beloved e-commerce company where every leap counts, this comprehensive preparation guide will equip you with everything needed to excel in the coding rounds.
Competition Overview & Structure
Eligibility Criteria
- Colleges: All engineering colleges across India
- Degrees: B.Tech, M.Tech, B.E., M.S., and Dual or integrated degrees
- Batches:
- 2026, 2027, 2028, and 2029 for Bachelor's or Master's degrees
- 2026, 2027, 2028, 2029, and 2030 for dual/integrated degrees
- Registration: Individual participants only (solo registration required)
Track & Opportunities
- Single Track: Software Development
- Target Role: Software Development Engineer -1 (SDE-1) at Flipkart
- Career Opportunities:
- Summer Internship Interview (3rd year bachelor students)
- Winter Internship Interview (4th year bachelor students)
- Full-Time Interview (4th year bachelor students)
Four-Round Competition Structure
Round 1: Academic Screening
The registered candidates undergo screening based on:
- Academic performance and consistency
- Non-academic achievements and accolades
- Overall profile evaluation
Preparation Strategy:
- Maintain strong academic records
- Participate in coding competitions and hackathons
- Build relevant projects and contribute to open source
- Document achievements and certifications
Round 2: Coding Assessment (The Focus of This Guide)
Format: Proctored coding assessment
- Duration: 90 minutes
- Questions: 3 coding problems
- Languages: Python, Java, C, C++, and others
- Evaluation: Based on test case clearance
- Advancement: Equal to or higher than cutoff score
Round 3: Case Study-based Code
The shortlisted candidates receive a business problem statement and must:
- Build a tool or system-level solution
- Submit complete code implementation
- Address real Flipkart business challenges
Round 4: National Finals
Location: Flipkart Headquarters, Bangalore
- Participants: Top 48 candidates
- Team Formation: Groups of 4 members
- Challenge: Develop working prototype with live demo
- Evaluation: Flipkart leadership jury assessment
Grand Prizes
- Rank 1 Teams: Flipkart EGVs worth ₹1,50,000 (2 positions)
- Rank 2 Teams: Flipkart EGVs worth ₹1,00,000 (2 positions)
- Rank 3 Teams: Flipkart EGVs worth ₹50,000 (2 positions)
Recognition Benefits
- Certificate of Merit for Round 1, 2, and 3 qualifiers
- Top 50 recognized as India's most premium tech talent
- Featured across Flipkart's microsites and social media
- Direct pathway to Flipkart career opportunities
Key Preparation Areas for Round 2 Coding Assessment
1. Arrays & Strings: Foundation Skills
Critical for e-commerce data processing and manipulation.
Essential Techniques:
- Two-pointer and sliding window approaches
- String pattern matching and manipulation
- Prefix sum for range queries
- Array rotation and sorting algorithms
2. Graphs: E-commerce Network Modeling
Vital for logistics, user relationships, and recommendation systems.
Core Algorithms:
- BFS/DFS for connectivity and shortest paths
- Dijkstra's algorithm for delivery optimization
- Topological sorting for dependency management
- Network flow for supply chain problems
3. Dynamic Programming: Optimization Excellence
Essential for solving complex optimization problems in e-commerce.
Key Concepts:
- Memoization vs. tabulation strategies
- Multi-dimensional state management
- Space optimization techniques
- Cost minimization and profit maximization
4. Trees: Hierarchical Data Management
Important for category hierarchies and organizational structures.
Critical Skills:
- Tree traversal patterns (inorder, preorder, postorder)
- Distance calculations and path finding
- Binary search tree operations
- Tree reconstruction and validation
5. Mathematical Problems: Large-Scale Operations
Necessary for handling massive transaction volumes and calculations.
Focus Areas:
- Large number arithmetic operations
- Modular arithmetic for overflow prevention
- Prime number algorithms
- Combinatorics and probability calculations
6. Grid-Based Problems: Warehouse & Logistics
Simulates real-world scenarios like warehouse navigation and delivery routes.
Essential Patterns:
- 2D array traversal and pathfinding
- Flood fill algorithms
- Minimum effort path calculations
- State-based grid manipulation
Previous Year Questions
Q1: Subarray Sum Equals K
Problem: Given an array and value k, return the number of continuous subarrays whose sum equals k.
Preparation Focus:
- Master prefix sum technique
- Practice HashMap optimization
- Understand cumulative sum patterns
- Complexity Target: O(n) time, O(n) space
Q2: Anagram Grouping
Problem: Group given strings into anagram categories.
Key Skills:
- String sorting for anagram detection
- Efficient grouping with HashMaps
- Character frequency analysis
- Complexity Target: O(n * m log m) time
Q3: Minimum Operations for Increasing Array
Problem: Make array strictly increasing with minimum operations.
Strategy:
- Apply greedy approach
- Single-pass optimization
- Increment calculation techniques
- Complexity Target: O(n) time, O(1) space
Q4: Path with Minimum Effort
Problem: Find minimum effort path in grid from top-left to bottom-right.
Advanced Concepts:
- Modified Dijkstra's algorithm
- Priority queue optimization
- Grid-based shortest path
- Complexity Target: O(mn log(mn)) time
Advanced Problem Categories from Previous Years
Grid-Based Challenges
Problem Type: m×n grid with elements '.', 'R', 'G', 'B' where '.' represents empty space.
Preparation Areas:
- Multi-state grid processing
- Color-based pattern recognition
- Efficient traversal algorithms
- Memory optimization for large grids
Graph Optimization Problems
Shortest Route with Eliminations
Challenge: Find shortest route between cities with ability to eliminate k road distances.
Skills Required:
- State compression in graphs
- Modified shortest path algorithms
- Dynamic programming on graphs
- Constraint optimization
Dependency Sum Calculation
Challenge: Calculate sum of dependencies for each node in directed graph.
Core Concepts:
- Topological sorting mastery
- Recursive dependency resolution
- DFS-based calculations
- Directed graph analysis
Array Manipulation Challenges
Missing Positive Integer
Challenge: Find smallest missing positive integer in array.
Techniques:
- In-place array manipulation
- Cyclic sort optimization
- Constant space algorithms
- Index-value relationship handling
Equal Average Subsequences
Challenge: Divide array into subsequences with equal averages.
Advanced Skills:
- Subset sum with mathematical constraints
- Dynamic programming on subsets
- Average calculation optimization
- Mathematical property validation
String Processing Problems
Large Number Arithmetic
Challenge: Perform addition, subtraction, multiplication on very large numbers in string format.
Essential Skills:
- Digit-by-digit operations
- Carry handling mechanisms
- Overflow prevention techniques
- String-to-number conversion optimization
Tree Distance Problems
Challenge: Find all nodes at distance K from given node in binary tree.
Key Concepts:
- Bidirectional tree traversal
- Distance tracking with BFS/DFS
- Parent pointer maintenance
- Level-based node collection
DSA Roadmap & Most asked coding questions
Free Placement material Google Drive link
Strategic Preparation Timeline
Phase 1: Foundation Building
Daily Practice: 3-4 problems focusing on:
- Basic data structure operations
- Fundamental algorithm implementation
- Code quality and optimization
- Time complexity analysis
Phase 2: Pattern Recognition
Daily Practice: 4-5 problems emphasizing:
- Previous year question patterns
- Advanced algorithmic techniques
- Complex problem decomposition
- Multiple solution approaches
Phase 3: Speed & Accuracy
Daily Practice: Timed sessions with:
- 90-minute mock assessments
- 3-problem contest simulation
- Stress testing under time pressure
- Code debugging and optimization
Phase 4: Final Preparation
Focus Areas:
- Review of weak concepts
- Speed coding practice
- Edge case handling
- Contest day strategy refinement
Round 3 Business Problem Preparation
Understanding E-commerce Challenges
Flipkart's business problems typically involve:
Inventory Management:
- Stock optimization algorithms
- Demand forecasting systems
- Warehouse space utilization
- Multi-location inventory balancing
Customer Experience:
- Recommendation engine development
- Search algorithm optimization
- Personalization systems
- User behavior analysis tools
Logistics & Supply Chain:
- Delivery route optimization
- Last-mile delivery solutions
- Package consolidation algorithms
- Real-time tracking systems
Technology Infrastructure:
- Scalability solutions for high traffic
- Database optimization strategies
- Microservices architecture
- Performance monitoring tools
System Design Considerations
Architecture Planning:
- Database schema design for scalability
- API design for microservices
- Caching strategies for performance
- Load balancing for high availability
Technology Stack Choices:
- Backend frameworks (Spring Boot, Node.js, Django)
- Database systems (MySQL, PostgreSQL, MongoDB, Redis)
- Cloud platforms (AWS, Azure, Google Cloud)
- Containerization (Docker, Kubernetes)
Contest Day Strategy
Pre-Assessment Preparation
- Environment Setup: Test coding environment and internet stability
- Resource Review: Quick revision of key algorithms and patterns
- Mental Preparation: Relaxation techniques and confidence building
- Time Management: Plan problem-solving sequence strategy
During the 90-Minute Assessment
First 10 Minutes:
- Read all three problems completely
- Identify difficulty levels and complexity
- Plan time allocation strategy
- Choose starting problem wisely
Problem-Solving Approach:
- Start with most confident problem
- Implement brute force solution first if needed
- Optimize incrementally for better complexity
- Test with sample inputs thoroughly
Time Management:
- Problem 1: 25-30 minutes (easier)
- Problem 2: 30-35 minutes (medium)
- Problem 3: 25-30 minutes (harder)
- Final 5 minutes: Review and debug
Recommended Practice Resources
Online Platforms
- LeetCode: Focus on medium to hard problems
- GeeksforGeeks: Concept clarity and interview preparation
- HackerRank: Contest-style practice
- CodeChef: Competitive programming skills
- InterviewBit: Structured learning paths
Books for Deep Understanding
- "Cracking the Coding Interview" by Gayle McDowell
- "Algorithm Design Manual" by Steven Skiena
- "Introduction to Algorithms" by CLRS
- "System Design Interview" by Alex Xu
Beyond the Coding Round
Preparing for Business Case Study (Round 3)
- Domain Knowledge: Understand e-commerce business models
- System Thinking: Practice end-to-end solution design
- Implementation Skills: Focus on production-ready code
- Documentation: Learn to explain complex solutions clearly
National Finals Preparation
- Team Collaboration: Practice working in groups of 4
- Prototype Development: Build working demos quickly
- Presentation Skills: Communicate technical solutions effectively
- Leadership: Contribute meaningfully to team success
Conclusion
Flipkart GRiD 7.0 is a premier tech challenge that offers you the chance to prove your skills, get noticed as top tech talent, and kickstart your career with Flipkart. From coding assessments to real-world business problem-solving, the competition tests your ability to think strategically, code efficiently, and build scalable solutions. It’s more than just a contest—it’s a gateway to impactful opportunities and real innovation in the e-commerce space.
Join Telegram group for discussion!
Explore previous year questions from top companies to boost your placement prep: