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EZeBld Platform

AI SaaS Platform Transforms Construction Projects

EZeBld Platform

Enterprise/Corporation
Company Type
Jerusalem, Israel
Location
Project work
Engagement Model
6 - 10 people
Team Size
2 - 4 years
Duration
$150K - $200K
Budget

About

AI SaaS platform for construction automates workflows, adds WhatsApp chatbot, predicts risks, and cuts 40% of manual work.

Challenge, approach, and impact

Automating Manual & Repetitive Operations

Leveraging 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.

Unifying Disconnected Tools through Integration

Building a unified platform that integrates subcontractor data, project documents, tasks, budgets, invoices, and communications into one interface. Eliminating the need for switching between different tools and resolving data silos caused by scattered integrations.

Real-Time Visibility & Prediction with AI Dashboards

Implementing centralized dashboards, automated approval workflows, and AI-powered predictive analytics to provide stakeholders with clear, real-time visibility. Reducing budget approval times significantly.

Integrated AI Messaging Layer to Unify Communication

Delivering an integrated communication layer that combines WhatsApp, mobile messaging, and AI chatbot support into the platform. Field workers using AI chat to report updates instantly, improving information flow between stakeholders.

How we built

SaaS
AI & ML Solutions
ERP
Conversational AI
Enterprise Software
Databases
Integrations
Data Analytics and Visualization

Testimonials

Jane Smith

EZeBld Platform

Verified Testimonial

Jane Smith, Project Manager at EZeBld Platform, highlights the efficiency gain, real-time insights, and client engagement improvement achieved by using the AI SaaS platform developed by DATAFOREST.

Team structure

Client team

EZeBld Platform's avatar

EZeBld Platform

Project stakeholder

Project stakeholder

The client stakeholders at EZeBld Platform were working closely with the team at Dataforest

Agency team

2 x Backend Developers's avatar

2 x Backend Developers

Production

2 x Project Manager's avatar

2 x Project Manager

Production

1 x Data Engineer's avatar

1 x Data Engineer

Production

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