How AI Improves Accuracy in Healthcare Processes

The Medshafy App is a B2B eCommerce platform designed for healthcare product purchases. The app allows users to browse, search, and order healthcare products, while the admin panel enables product management, order tracking, and user management. The platform supports multilingual functionality (English & Arabic) and integrates secure payment gateways like PayTabs and Apple Pay.

The project aims to develop a service marketplace platform where skilled labor can be hired by clients for specific jobs or tasks. It focuses on creating a user-friendly interface for both clients and service providers, providing a wide range of features to facilitate seamless communication, job management, and booking processes. The solution includes mobile applications for Android and iOS, as well as a comprehensive admin panel to oversee all activities.

An AI phone agent for restaurants, designed to automate and enhance customer interactions over the phone. It handles orders, reservations, FAQs, and customer queries while seamlessly integrating with POS systems. With the ability to manage unlimited simultaneous calls, upsell intelligently, and provide real-time analytics, it reduces missed opportunities and improves customer satisfaction.

To design and implement an integrated, automated planning and forecasting platform that enhances forecast accuracy, eliminates manual and siloed processes, provides real-time visibility into key business metrics, and enables seamless collaboration across planning, sales, and supply chain teams—empowering the organization to respond pro-actively to market changes and make informed, data-driven decisions across short- and long-term planning cycles.

The client, a high-volume enterprise seller managing over 120K SKUs, struggled to maintain competitive pricing across marketplaces like GSA Advantage due to manual and inconsistent processes.

smartData developed an automated Competitive Pricing Intelligence and Price-to-Beat platform that continuously discovers, validates, and compares pricing data from Amazon and verified U.S. vendors. The system applies rule-based matching, filters unreliable sellers, calculates landed costs, and identifies optimal competitive pricing.

Built with a scalable architecture, the platform integrates seamlessly with ERP (Business Central) using automated CSV exports and S3/SFTP delivery. It enables real-time pricing visibility, reduces manual effort, and ensures compliance with marketplace requirements.

The solution empowers the client to make faster pricing decisions, improve accuracy, and maintain a strong competitive position in a high-volume marketplace.

Real estate agents spend a significant portion of their day on phone calls – following up with leads, booking property visits, and confirming client preferences. The client, a mid-sized real estate agency, was struggling with missed follow-ups, delayed responses, and scattered call logs.
To address this, we built a smart inbound-outbound calling agent that acts like a virtual assistant. Integrated directly with the client’s CRM and calendar, the agent automatically places calls, captures lead details, books appointments, and updates records in real time – all while keeping the human agent in control.