AI SaaS Platform Transforms Construction Projects

40% Less Manual Work, Faster Decisions: AI SaaS Platform Transforms Construction Operations

EZeBld, a construction SaaS provider, replaced manual workflows and fragmented tools with an AI-driven platform built by DATAFOREST. The solution automates routine tasks, predicts budget and timeline risks, and delivers instant answers via an AI WhatsApp chatbot. It results in 40% less manual work, faster approvals, and full real-time visibility.

Construction

Web and mobile development

SaaS Platform

reduction in manual workload through AI automation

uptime achieved during the PoC phase

uptime reached at MVP launch

The client, EZeBld Platform, is an Israel-based construction development company managing real estate projects. They operate on a subscription-based SaaS model that provides scalable access to project management capabilities.

Django

AWS

PostgreSQL

FastApi

OpenAI

THE CHALLENGE

The construction development companies' workflows were highly inefficient due to manual processes, disconnected tools, and lack of integration.

EZeBld Platform’s project management processes were slowed by manual work, disconnected tools, and limited visibility. Critical workflows like task management, budgeting, and communication were spread across spreadsheets, apps, and custom integrations—resulting in delays, errors, and inefficiency.

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Additionally, the business required a flexible roles and permissions model to support multiple user types (Project Managers, Clients, Subcontractors, Sales).

Manual & Repetitive Operations

Day-to-day work such as document handling, approvals, and communications was performed manually, leading to wasted time, frequent errors, and reduced productivity for both field workers and managers.

Disconnected Tools & Lack of Integration

Teams relied on unintegrated systems like Google Sheets and Monday.com, which created fragmented data, hindered collaboration, and slowed down project coordination. Using separate tools for managing leads and projects with custom integrations further created data silos and workflow inefficiencies.

Limited Real-Time Insights

Without centralized dashboards and predictive analytics, project managers lacked visibility into performance and budgets. This made it harder to anticipate risks, manage changes, or prevent costly delays.

Customer Engagement Bottlenecks‍

Scattered communication channels between construction companies, customers, and subcontractors led to delayed responses, missed opportunities, and weaker client relationships.

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THE SOLUTION

To modernize construction project management, DATAFOREST developed a modular web platform and mobile application with embedded AI. Field workers can instantly update tasks and report issues, while project managers access real-time insights into timelines, budgets, and risks.

Delivered as a subscription-based SaaS platform, the solution consolidates all workflows—leads, tasks, documents, budgets, invoices, and communication—into a single interface. AI-driven automation powers proactive task monitoring, predictive forecasting, and smart resource allocation, reducing manual effort and operational risks.

Manual and Repetitive Operations

The platform leverages AI automation for decision-making, data processing, and task management. Predictive analytics forecast potential delays and budget risks, while automated workflows streamline approvals, lead management, and customer communication. Workers can instantly update tasks and report problems via an AI-powered chat enhanced with Retrieval-Augmented Generation (RAG), which pulls accurate, context-specific information from project data. This ensures workers get the right answers immediately, reduces back-and-forth communication, and minimizes errors caused by outdated or missing information.

Disconnected Tools & Lack of Integration

We built a unified platform that integrates subcontractor data, project documents, tasks, budgets, invoices, and communications into one interface. This eliminated the need for switching between Google Sheets, Monday.com, and other disconnected tools. Managing leads and projects through one system also resolved data silos caused by scattered integrations. In addition, mobile app access ensures that field workers and managers can update tasks, track progress, and share information instantly while on-site, improving coordination and responsiveness.

Limited Real-Time Insights & Budget Transparency

We implemented centralized dashboards, automated approval workflows, and AI-powered predictive analytics to give stakeholders clear, real-time visibility. Project managers receive automated alerts and reminders about risks, budget deviations, and timeline shifts, enabling proactive decision-making. As a result, budget approval times were reduced from several days to just 3–6 hours

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Customer Engagement Bottlenecks

We delivered an integrated communication layer that combines WhatsApp, mobile messaging, and AI chatbot support into the platform. Field workers now use the AI chat to instantly report updates, while RAG-powered responses improve information flow between stakeholders. A mobile-optimized interface ensures smooth use in the field, boosting responsiveness and engagement.

THE RESULT

AI-Powered Web & Mobile Platform: 40% Less Manual Work and Faster Decisions for Construction Companies

EZeBld Platform, a construction development company, needed to replace fragmented tools and manual processes with a unified platform to improve efficiency, visibility, and client engagement. DATAFOREST delivered a scalable SaaS solution with integrated AI automation, mobile access, and predictive analytics, enabling subscribers to streamline operations and reduce risks.

We developed a modular web and mobile platform that consolidates all workflows—leads, tasks, documents, budgets, invoices, and communications—into one interface. The system uses AI-driven automation and RAG-enhanced chatbot support to cut repetitive tasks, accelerate approvals, and ensure accurate, real-time insights. Mobile-first access ensures subscribers can manage projects and make decisions anytime, anywhere.

This transformation enabled EZeBld Platform to scale its operations as a SaaS business unit, reduce inefficiencies, and deliver enterprise-grade project management capabilities to its subscribers.

40%

reduction in manual workload through AI automation

3–6 hrs

budget approvals (down from several days)

95% / 99%

uptime achieved during PoC and at MVP launch

After completing the core development, we continued evolving the product by adding new functionality based on user feedback. This reinforced our commitment not only to the success of the current project but also to the client’s long-term growth.

AI SaaS Platform Transforms Construction Projects

Steps of providing data scraping services

Step 1 of 5

Free consultation

It's a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.

Step 2 of 5

Discovering and feasibility analysis

One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs. At this stage, we need to ensure that we understand the full scope of the project. Receive from you or perform a set of interviews and prepare the following documents: list of features with detailed description and acceptance criteria; list of fields that need to be scraped, solution architecture. Ultimately we make a project plan which we strictly follow. We are a result-oriented company, and that is one of our core values as well.

Step 3 of 5

Solution development

At this stage, we develop the scraping engine core logic. We run multiple tests to ensure that the solution is working properly. We map the fields and run the scraping. While scraping, we keep the full raw data so the final model can be enlarged easily. Ultimately we store data in any database and run quality assurance tests.

Step 4 of 5

Data delivery

After quality assurance tests are completed, we deliver data and solutions to the client. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While developing and crawling data, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.

Step 5 of 5

Support and continuous improvement

We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.