Rebuild DFT for Performance
Budget: ₹37,500 – ₹75,000 INR
At a glance
• Engagement: fixed-price rebuild delivered by a dedicated team
• Timeline: 8 calendar weeks, broken into milestone releases
• Collaboration: daily Slack stand-ups, weekly demo calls, GitHub flow PRs
Project overview
The current Demand Forecasting Tool (DFT) is mission-critical yet unstable; frequent crashes under load have made it impossible to scale. I’m replacing it entirely and need a production-ready version that is fast, resilient and 100 % correct in its domain outputs.
Fixed tech stack
You will inherit a fully defined stack and infrastructure playbook (shared after NDA). The stack is non-negotiable, so your team must be comfortable dropping straight into an existing repo, containerised workflow and CI/CD pipeline.
Required skills (proficiency out of 5)
• Backend optimisation ★★★★★
• SQL & data modelling ★★★★★
• Distributed architecture ★★★★☆
• Container orchestration ★★★★☆
• Automated testing & CI/CD ★★★★☆
What you will build
1. Core architecture – refactor into a modular, horizontally scalable service layout.
2. Forecasting engine – port algorithms, guarantee deterministic results, expose REST & event streams.
3. Inventory / Purchase-Order module – real-time stock reconciliation tied to forecasts.
4. Audit trail – immutable ledger recording every calculation, state change and user action.
5. Data import pipeline – high-volume CSV/JSON ingests with validation and retry logic.
Milestones & payment schedule (percentage of total)
Week 1: Architecture spike & tech spec – 10 %
Week 2: Skeleton services & CI setup – 10 %
Week 3: Forecasting engine alpha – 10 %
Week 4: Inventory/PO module alpha – 10 %
Week 5: Audit trail integration – 15 %
Week 6: Data import pipeline – 15 %
Week 7: Full system hardening, load tests – 15 %
Week 8: Go-live & hand-over docs – 15 %
How to apply
Attach a concise code sample (link or file) that demonstrates clean architecture and a working SB classification implementation; proposals without this will be ignored automatically. Briefly outline your team’s availability against the 8-week schedule.
Closing note
DFT sits at the core of our supply-chain decisions—domain correctness is non-negotiable. I will run deterministic test suites against every milestone, and payment is released only for work that passes. If that level of rigour motivates rather than scares you, let’s get started.
• Engagement: fixed-price rebuild delivered by a dedicated team
• Timeline: 8 calendar weeks, broken into milestone releases
• Collaboration: daily Slack stand-ups, weekly demo calls, GitHub flow PRs
Project overview
The current Demand Forecasting Tool (DFT) is mission-critical yet unstable; frequent crashes under load have made it impossible to scale. I’m replacing it entirely and need a production-ready version that is fast, resilient and 100 % correct in its domain outputs.
Fixed tech stack
You will inherit a fully defined stack and infrastructure playbook (shared after NDA). The stack is non-negotiable, so your team must be comfortable dropping straight into an existing repo, containerised workflow and CI/CD pipeline.
Required skills (proficiency out of 5)
• Backend optimisation ★★★★★
• SQL & data modelling ★★★★★
• Distributed architecture ★★★★☆
• Container orchestration ★★★★☆
• Automated testing & CI/CD ★★★★☆
What you will build
1. Core architecture – refactor into a modular, horizontally scalable service layout.
2. Forecasting engine – port algorithms, guarantee deterministic results, expose REST & event streams.
3. Inventory / Purchase-Order module – real-time stock reconciliation tied to forecasts.
4. Audit trail – immutable ledger recording every calculation, state change and user action.
5. Data import pipeline – high-volume CSV/JSON ingests with validation and retry logic.
Milestones & payment schedule (percentage of total)
Week 1: Architecture spike & tech spec – 10 %
Week 2: Skeleton services & CI setup – 10 %
Week 3: Forecasting engine alpha – 10 %
Week 4: Inventory/PO module alpha – 10 %
Week 5: Audit trail integration – 15 %
Week 6: Data import pipeline – 15 %
Week 7: Full system hardening, load tests – 15 %
Week 8: Go-live & hand-over docs – 15 %
How to apply
Attach a concise code sample (link or file) that demonstrates clean architecture and a working SB classification implementation; proposals without this will be ignored automatically. Briefly outline your team’s availability against the 8-week schedule.
Closing note
DFT sits at the core of our supply-chain decisions—domain correctness is non-negotiable. I will run deterministic test suites against every milestone, and payment is released only for work that passes. If that level of rigour motivates rather than scares you, let’s get started.