Multiple spreadsheets across sites created inconsistent status, duplicate updates, and slow decision-making for supervisors and department leads.
Kodertal delivers production-ready AI solutions, from strategy to scale. We design, build, and integrate AI agents, LLMs, chatbots, and automation that fit your workflow, ship faster, and drive measurable business outcomes globally.
Swivu Engineering needed a modern way to manage multi-site construction without Excel chaos, scattered emails, or unreliable verbal updates. We helped them launch a lightweight web + mobile platform that keeps tasks, schedules, and on-site progress synced in real time—so teams move faster with fewer bottlenecks.

Managing multi-site projects through spreadsheets and ad-hoc updates created delays, missed details, and inconsistent execution. Swivu Engineering needed a system that field teams could actually use daily, while HQ could rely on for planning and oversight. We delivered a browser-based control panel and a lightweight mobile app that unify task dispatching, scheduling, and reporting—without adding complexity for on-site workers.
Industry
Construction Management
Region
USA
Company Size
Not disclosed
Engagement
Custom Web + Mobile Portal
Time Saved
300hrs
Efficiency Boost
+67%
Multiple spreadsheets across sites created inconsistent status, duplicate updates, and slow decision-making for supervisors and department leads.
Verbal updates and scattered messages caused delays, unclear ownership, and missed handoffs between on-site teams and HQ.
The product had to stay simple for non-technical users while still supporting complex scheduling, task views, and reporting needs.
Multi-site coordination demanded advanced backend logic, filtering, dashboards, and sync—without turning daily use into training-heavy software.
Projects, departments, and roles required multi-layer filters that had to remain fast, accurate, and consistent across views.
Keeping HQ dashboards and mobile updates aligned introduced edge cases under load and during intermittent site connectivity.
As activity increased, simultaneous updates risked state conflicts and inconsistent task timelines across departments.
As the system grew, Celery job orchestration and Redis caching required careful tuning, monitoring, and stability checks.
Logs, user actions, and regional activity increased indexing and routing demands across PostgreSQL and infrastructure layers.
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
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.
We implemented indexed, backend-driven filters with query optimization and state memory, enabling deep drill-downs across projects, departments, and roles without slowing pages.
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.
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.
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.
We supported multi-site performance with region-aware caching and CDN routing, improving speed and reducing load time friction for distributed teams.

Central planning view to assign work, balance teams, and track timelines across sites.
Lightweight mobile experience for on-site updates, task completion, and quick status reporting.
Live logs highlight issues early, reduce repeat errors, and improve operational accountability.
Instant updates across HQ and field to reduce waiting, rework, and misaligned priorities.
Faster load times for multi-site teams using caching strategies tuned for distributed usage
Access controls ensure each role sees the right tasks, dashboards, and operational context.
Auto-synced dashboards for supervisors to view progress without manual spreadsheet aggregation.
Structured releases using GitHub Actions to reduce risk and keep deployments repeatable.
Built for multi-location collaboration with stable backend patterns and secure infrastructure practices.
Problems
Delayed updates caused task bottlenecks and misalignment.
Solution
Outcome
Smooth task tracking and significantly improved communication.
Problems
Manual tracking resulted in missed issues and inefficiencies.
Solution
Outcome
Faster issue resolution and reduced project delays.














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Projects Delivered
Full-Time Engineers
Years of Consistent Delivery
Technologies Mastered
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
Specialized team with 10+ years in machine learning and 5+ years in LLM development.
