The 7 SDLC phases(Software Development Life Cycle) 

Phase 1 : Planning (Discovery & Goal Setting)

• Objective: Define business goals, target users, KPIs, and success criteria.
  
  

• Zoom IT approach: stakeholder interviews, competitor scan, market intelligence (Bangladesh & regional), and initial roadmap. If AI is on scope, we add data availability assessment and AI feasibility questions.
  
  

• Deliverables: Project brief, high-level roadmap, KPI targets, budget estimate, initial AI/data checklist.
  
  

• Client benefit: Clear scope, reduced scope creep, faster onboarding with our software developer teams.
  
  

Phase 2 : Feasibility Analysis (Technical & Business Validation)

• Objective: Verify technical viability, costs, timelines, and risks.
  
  

• Zoom IT approach: architecture options, PoC recommendations (if needed), cost-risk matrix and ROI check — includes ML feasibility, data readiness and compliance checks for AI projects.
  
  

• Deliverables: Feasibility report, recommended platform (Shopify, WooCommerce, MERN, Laravel, Magento), high-level tech & AI stack.
  
  

• Client benefit: Confident go/no-go decision, lower unexpected costs — ideal when hiring a software firm in Bangladesh.
  
  

Phase 3 : System Design (Architecture & UX)

• Objective: Turn requirements into an actionable design and architecture.
  
  

• Zoom IT approach: UX flows, wireframes, component architecture, API and data model design, and integration plan (ERP/CRM/AI). For AI projects, we include data pipelines, model boundaries, inference architecture (edge/cloud), and explainability considerations.
  
  

• Deliverables: UI prototypes, architecture diagram, API spec, integration & AI model specs.
  
  

• Client benefit: Faster development, fewer reworks — essential for advanced software development projects.
  
  

Phase 4 :  Implementation (Engineering & Development)

• Objective: Build the product using best-practice coding standards.
  
  

• Zoom IT approach: Agile sprints, peer reviews, CI pipelines, modular code (MERN/Laravel/Android SDK as required). For AI, we implement model development pipelines, integrate inference endpoints, and set up MLOps for continuous deployment.
  
  

• Deliverables: Incremental builds, sprint demos, versioned releases, trained models (if required).
  
  

• Client benefit: Predictable releases, transparent progress, high-quality deliverables from an experienced software developer company.
  
  

Phase 5 : Testing (Quality & Security)

• Objective: Validate functionality, performance, security and UX.
  
  

• Zoom IT approach: Automated unit tests, integration tests, E2E, performance & security scans (SAST/DAST), usability testing. For AI: model validation, bias checks, accuracy benchmarks, drift detection and synthetic data tests.
  
  

• Deliverables: Test reports, bug backlog, performance & model benchmark reports.
  
  

• Client benefit: Low defect rate, secure releases and better user satisfaction — a must-have for any software development company in Bangladesh client.
  
  

Phase 6 : Deployment (Go-live & Rollout)

• Objective: Deliver a smooth, low-risk launch.
  
  

• Zoom IT approach: Staged rollouts, blue/green or canary deploys, cloud/on-prem provisioning, backup & rollback plans. AI deployments include A/B model rollouts, shadow testing, and monitoring hooks.
  
  

• Deliverables: Deployment runbook, monitoring dashboards, support SLAs, model observability dashboards.
  
  

• Client benefit: Minimal downtime, reliable user onboarding — critical for high-volume eCommerce or SaaS.
  
  

Phase 7 : Maintenance (Support & Continuous Improvement)

• Objective: Keep the product secure, fast and evolving.
  
  

• Zoom IT approach: SLA-based maintenance, analytics-driven updates, feature roadmaps, scheduled security patches, and for AI: model retraining schedules, drift monitoring, and continuous performance checks.
  
  

• Deliverables: Monthly health reports, update releases, incident logs, model performance logs.
  
  

• Client benefit: Long-term ROI, lower TCO, and continuous feature growth — hallmarks of a top custom software development firm.
  
  

Documents & processes we include (integrated, action-oriented)

Product Requirements Document (PRD)

• Purpose: Define product vision, core features, target users, and success metrics.
  
  

• Includes: Product overview, user personas, feature list, acceptance criteria, KPIs.
  
  

• Outcome: Aligns stakeholders and developers from day one.
  
  

Software Requirements Specification (SRS)

• Purpose: Translate PRD into exact functional & non-functional requirements.
  
  

• Includes: Use cases, data models, performance targets, compliance points.
  
  

• Outcome: Precise scope for development and accurate cost/time estimates.
  
  

Standard Operating Procedures (SOPs)

• Purpose: Standardize how we design, code, test and deploy.
  
  

• Includes: Coding standards, CI/CD gates, release checklist, support workflows.
  
  

• Outcome: Consistency, measurable quality, and reduced delivery risks.
  
  

UI/UX Design Workflow

• Activities: Research → wireframe → prototype → usability testing → final UI.
  
  

• Deliverable: Interaction-ready prototypes, responsive design specs, accessibility checks.
  
  

• Outcome: Higher conversions, lower bounce rates.
  
  

Quality Assurance (QA)

• Coverage: Functional, regression, cross-browser/device, performance, security, automation.
  
  

• Deliverable: Test plans, automated suites, regression reports.
  
  

• Outcome: Reliable, production-ready releases.

Functional Specification Document (FSD)

• Activities: Translate SRS into detailed functional workflows, define user interactions, input/output rules, screen behaviors, and system integrations.

• Deliverable: Comprehensive document with feature specifications, user flow diagrams, navigation rules, and integration guidelines.

• Outcome: Eliminates ambiguity, aligns developers and testers, and ensures smooth, predictable execution of the project.

AI Agents & Automation — (Ask-Engineering Format)

What are AI Agents & Automation?

AI Agents are purpose-built intelligent systems (chatbots, virtual assistants, recommendation engines, autonomous workflows) that act on data to automate tasks, assist users, or drive decisions. Automation combines rules, scripts and AI to streamline repetitive processes.

Why include AI in your software?

• Increase productivity (routine task automation)
  
  

• Improve user satisfaction (24/7 intelligent support)
  
  

• Boost conversions (personalized recommendations)
  
  

• Reduce operational cost (automate manual workflows)
  
  

When should you choose AI Agents/Automation?

• You have repeatable tasks (order routing, invoices).
  
  

• You have user-interaction needs (support chat, onboarding).
  
  

• You want data-driven personalization (product recommendations).
  
  

• You need predictive insights (demand forecasting, churn prediction).
  
  

How Zoom IT builds AI Agents (step-by-step)

1. Discovery (Data & Use-case): Identify goals, map data sources, define success metrics.
   
   

2. Design (UX + Agent Flow): Script conversational flows, define handoff points to human agents.
   
   

3. Model & Integration: Train models (NLP / recommendation / forecasting), build APIs and inference endpoints.
   
   

4. MLOps & Deployment: Deploy with CI/CD for models, set up monitoring, rollback and retraining pipelines.
   
   

5. Validation & Safety: Bias checks, privacy controls, explainability, access controls.
   
   

6. Scale & Optimize: Continuous learning, A/B testing, performance tuning.
   
   

Typical AI Agent uses we deliver

• Smart Chatbots & Virtual Agents (support + sales)
  
  

• Personalization & Recommendation Engines (eCommerce, content)
  
  

• Automated Order & Invoice Processing (ERP automation)
  
  

• Predictive Analytics & Forecasting (demand, inventory, churn)
  
  

• Intelligent Automation for workflows (RPA + AI)
  
  

Tech & Tools we use (examples)

• Model frameworks: PyTorch, TensorFlow, scikit-learn
  
  

• NLP & conversational: Rasa, Dialogflow, Open-source LLM integrations
  
  

• MLOps: MLflow, Kubeflow, Terraform for infra-as-code
  
  

• Cloud & inference: AWS SageMaker, GCP, Azure, containerized endpoints
  
  

Security & Compliance

• Data governance, encryption-at-rest/in-transit, role-based access, logging, GDPR-like controls where needed.
  
  

• We add model explainability & human-in-the-loop review points for sensitive flows.
  
  

Client benefit (quantified when possible)

• Faster resolutions (e.g., 24/7 support reduces response times by X%)
  
  

• Increased conversion from personalization (typical uplift 8–25% in pilot projects)
  
  

• Reduced manual workload and errors for back-office tasks
  
  

Ready to pilot? Ask for an AI Integration assessment and we’ll return a clear PoC plan.

How Zoom IT delivers (our unique, customer-focused execution)

• Flexible delivery models: Fixed-scope, time & material, or outcome-based engagements with transparent billing.
  
  

• Methodologies: Agile Scrum for iterative delivery + DevOps & MLOps for rapid CI/CD and reliable operations.
  
  

• Tools & stack examples: Jira, GitHub/GitLab, Jenkins/GitLab CI, Docker, Kubernetes, Terraform, AWS/GCP/Azure.
  
  

• Security-first: Secure SDLC gates, encryption, SAST/DAST and periodic audits.
  
  

• Integrations we commonly do: ERP, CRM, payment gateways (local: bKash/Nagad), logistics APIs, analytics.
  
  

• AI & automation options: Chatbots, recommendation engines, model-driven automation, automated testing & deployment — add-ons for growth-focused clients.