Swivu Engineering Construction Management

Real-Time Construction Coordination, From HQ to Field

A construction coordination platform for multi site work, replacing spreadsheets and scattered email with tasks, schedules and on site progress synced in real time.

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Summarise this with

Industry
Construction Management
Region
United States
Engagement
Custom Web + Mobile Portal
Coverage
100+ regions

01 Drag to explore

Inside the Platform

  • Mobile dispatch
  • Role permissions
  • Seed image culture-3
    Live dashboards
  • A manager working at a desk by the window
    Release pipeline
  • Seed image culture-1
    HQ timeline
  • EZ Living Trust project
    Workload map
  • Landwise NWA project
    Task detail
  • Seed image culture-2
    Live error log

02 Key results

Measured Outcomes After Launch

What changed once HQ and the field were working from the same live picture.

2 Hrs
Time saved daily Faster scheduling and fewer bottlenecks
30%
Fewer errors Live logs reduced repeat mistakes
25%
Overhead drop Fewer admin loops and manual follow-ups
4X
Reporting speed Auto dashboards synced instantly

03 The challenges

What Was Breaking Coordination at Scale

Nine friction points, spread across the sites, the office, and the stack underneath both.

  1. Excel Fragmentation

    Multiple spreadsheets across sites created inconsistent status, duplicate updates, and slow decision-making for supervisors and department leads.

  2. Field-to-HQ Gaps

    Verbal updates and scattered messages caused delays, unclear ownership, and missed handoffs between on-site teams and HQ.

  3. Minimal UI Pressure

    The product had to stay simple for non-technical users while still supporting complex scheduling, task views, and reporting needs.

  4. Dense Functionality Needs

    Multi-site coordination demanded advanced backend logic, filtering, dashboards, and sync, without turning daily use into training-heavy software.

  5. Complex Filter Logic

    Projects, departments, and roles required multi-layer filters that had to remain fast, accurate, and consistent across views.

  6. Real-Time Sync Reliability

    Keeping HQ dashboards and mobile updates aligned introduced edge cases under load and during intermittent site connectivity.

  7. Concurrency Edge Cases

    As activity increased, simultaneous updates risked state conflicts and inconsistent task timelines across departments.

  8. Scaling Async Workloads

    As the system grew, Celery job orchestration and Redis caching required careful tuning, monitoring, and stability checks.

  9. Data Volume Stress

    Logs, user actions, and regional activity increased indexing and routing demands across PostgreSQL and infrastructure layers.

04 The solutions

Lean UI, Deep Engineering Reliability

Six decisions that kept the surface simple for site crews while the system underneath took the load.

Talk Through Your Build

  1. Minimal UI, Modular Logic

    We separated UI presentation from core logic so the interface stayed lightweight while deeper capability lived in reusable components, keeping daily usage simple for field teams.

  2. Dynamic Multi-Level Filters

    We implemented indexed, backend-driven filters with query optimization and state memory, enabling deep drill-downs across projects, departments, and roles without slowing pages.

  3. Reliable Real-Time Sync

    We combined Redis-backed pub-sub patterns with Celery workers and WebSocket triggers so HQ dashboards and mobile apps stayed aligned, even under heavy activity.

  4. Scaling-Ready Backend

    We tuned Django and PostgreSQL for scale using connection pooling and read replicas to keep workflows responsive, targeting latency under 200ms across high-use paths.

  5. Role-Based Dashboards

    We built scoped views using Django permissions and context-aware dashboard rules that adapt by project type, department, and whether a user operates on-site or in HQ.

  6. Region-Aware Performance

    We supported multi-site performance with region-aware caching and CDN routing, improving speed and reducing load time friction for distributed teams.

05 Core features

Features That Drive Field Execution

What shipped, and what each part of it is there to do.

  • HQ Timeline & Workload Map

    Central planning view to assign work, balance teams, and track timelines across sites.

  • Mobile-Friendly Work Dispatching

    Lightweight mobile experience for on-site updates, task completion, and quick status reporting.

  • Error & Performance Logging

    Live logs highlight issues early, reduce repeat errors, and improve operational accountability.

  • Real-Time Project Data Flow

    Instant updates across HQ and field to reduce waiting, rework, and misaligned priorities.

  • Region-Aware Deployment Caching

    Faster load times for multi-site teams using caching strategies tuned for distributed usage.

  • Custom Role-Based Permissions

    Access controls ensure each role sees the right tasks, dashboards, and operational context.

  • Live Metrics & Dashboards

    Auto-synced dashboards for supervisors to view progress without manual spreadsheet aggregation.

  • Version Control & CI/CD

    Structured releases using GitHub Actions to reduce risk and keep deployments repeatable.

  • Secure Multi-Site Architecture

    Built for multi-location collaboration with stable backend patterns and secure infrastructure practices.

06 Use cases

The Old Way, and What Replaced It

Two workflows that carry most of the daily load, how each one used to run, and what it runs on now.

  1. Task Tracking and HQ to Field Sync

    Before

    Delayed updates caused task bottlenecks and misalignment.

    After
    • Real-time sync between HQ and field teams
    • Mobile app for instant task updates

    Result Smooth task tracking and significantly improved communication.

  2. Performance & Error Logging

    Before

    Manual tracking resulted in missed issues and inefficiencies.

    After
    • Automated error and performance logging
    • Live dashboards for management visibility

    Result Faster issue resolution and reduced project delays.

07 Tech stack

Technology Behind the Build

A lean surface over Django, Postgres and Redis, deployed region-aware so distributed crews get the same speed.

  1. Frontend

    • React UI framework
    • Tailwind CSS Styling
    • TypeScript Typed JavaScript

  2. Backend

    • Python Backend language
    • Django Web framework
    • Node.js Runtime
    • Celery Async job queue

  3. Data & Caching

    • PostgreSQL Primary database
    • Redis Cache and pub/sub
    • WebSockets Live updates

  4. Cloud & Delivery

    • AWS Cloud hosting
    • Azure Cloud hosting
    • Kubernetes Orchestration
    • GitHub Actions CI/CD

  5. Automation & Integrations

    • Zapier Automation
    • n8n Workflow automation
    • HubSpot CRM
    • Salesforce CRM
    • HighLevel Marketing ops

08 Client review

They understood the workflow before writing code.

The team mapped our intake process, flagged the compliance constraints we had missed, and delivered the first working release inside the quarter.

Sarah Whitfield Operations Director, healthcare client

Clutch

The engineering floor, half the team at their monitors

09 More work

Other Projects We Have Shipped

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10 Book a call

Have a Coordination Problem Like This?

Tell us where the handoffs break today. We reply within one business day with a next step and the engineer who would run the work.

  • 2451 West Grapevine Mills Circle, Grapevine, TX 76051 · USA
  • hello@kodertal.com
  • Reply within 1 business day, 24/7 support once live

Covered by an NDA on request. We never share project details.

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