Transforming

Transforming

Restocq

through AI Powered

through AI

Restocq

through AI

Procurement and Inventory Management

Powered Procurement and Inventory Management

Powered Procurement and Inventory Management

Client

Client

Restocq

Restocq

Technology

Technology

Open AI, ROR, Pyhton

Open AI, ROR, Pyhton

Introduction

Introduction

Dental practices rely on a steady flow of clinical supplies, yet procurement remains one of the most fragmented and time-consuming operational processes. Managing multiple suppliers, tracking inventory manually, and monitoring spend often pulls staff away from what matters most — patient care.


Restocq was built as a centralized marketplace aggregator that brings ordering, inventory management, budgeting, and supplier coordination into a single, intelligent platform. Designed for scale, Restocq helps practices streamline procurement while using AI to improve purchasing decisions over time.

“Restocq is supporting clinics by improving staff time through automating product purchases.”

“Restocq is supporting clinics by improving staff time through automating product purchases.”

The Challenge

The Challenge

Dental practices across Australia and the United States face recurring inefficiencies in supply procurement:


  • Stock levels are often tracked manually, making them prone to errors and unexpected shortages.

  • Practices are forced to order from multiple suppliers through disconnected websites, phone calls, and emails — each with different pricing and product categorization.

  • Fragmentation makes it difficult to compare prices, locate products quickly, and ensure the best value.

  • Without real-time visibility into inventory and spend, practices risk overstocking, stockouts, and budget overruns — slowing operations and squeezing margins.


Our Approach

Our Approach

We approached Restocq as more than a procurement tool — it was designed as an intelligent system that continuously learns from usage, purchasing patterns, and supplier data.


By combining automation with AI-driven insights, the goal was to reduce manual effort, standardize product data across suppliers, and support smarter purchasing decisions. Feature development was guided by customer feedback and real operational priorities, ensuring the platform remained stable while continuously improving the user experience.


Close collaboration between the technology and operations teams, supported by regular stakeholder engagement, ensured rapid issue resolution and alignment with real-world workflows.

We approached Restocq as more than a procurement tool — it was designed as an system that continuously learns from usage, purchasing patterns, and supplier data.


By combining automation with AI-driven insights, the goal was to reduce manual effort, standardize product data across suppliers, and support smarter purchasing decisions. Feature development was guided by customer feedback and real operational priorities, ensuring the platform remained stable while continuously improving the user experience.


Close collaboration between the technology and operations teams, supported by regular stakeholder engagement, ensured rapid issue resolution and alignment with real-world workflows.

We approached Restocq as more than a procurement tool — it was designed as an intelligent system that continuously learns from usage, purchasing patterns, and supplier data.


By combining automation with AI-driven insights, the goal was to reduce manual effort, standardize product data across suppliers, and support smarter purchasing decisions. Feature development was guided by customer feedback and real operational priorities, ensuring the platform remained stable while continuously improving the user experience.


Close collaboration between the technology and operations teams, supported by regular stakeholder engagement, ensured rapid issue resolution and alignment with real-world workflows.

Implementation

Implementation

Restocq was delivered through a phased execution model spanning discovery, build, AI validation, and rollout.


The platform includes:


  • Centralized ordering across multiple suppliers

  • Real-time inventory management with intelligent reordering

  • Budgeting, spend tracking, and alerts

  • Multi-user access with role-based controls

  • Supplier management and price comparison



AI capabilities were embedded across the platform, including recommendation engines, demand forecasting, price optimization, and NLP-driven data correction and product categorization.

Restocq was delivered through a phased execution model spanning discovery, build, AI validation, and rollout.


The platform includes:


  • Centralized ordering across multiple suppliers

  • Real-time inventory management with intelligent reordering

  • Budgeting, spend tracking, and alerts

  • Multi-user access with role-based controls

  • Supplier management and price comparison


AI capabilities were embedded across the platform, including recommendation engines, demand forecasting, price optimization, and NLP-driven data correction and product categorization.

Impact

Impact

Restocq is significantly reducing the administrative burden of dental procurement by centralizing ordering and automating repetitive tasks.


Practices are gaining real-time visibility into spending, enabling better budget control and preventing overspending through alerts and reporting. Price comparison across suppliers and access to optimized pricing models helps practices make informed purchasing decisions and reduce overall supply costs.


Intelligent inventory tracking and automated reordering are preventing both overstocking and stockouts, while analytics and reports are allowing practice owners to identify trends and uncover further opportunities for optimization.

Conclusion

Conclusion

Restocq is transforming dental procurement into a streamlined, data-driven process.


By combining centralized workflows with AI-powered recommendations, forecasting, and price intelligence, the platform is enabling practices to operate more efficiently, control costs, and focus their time and energy on delivering better patient care. Procurement is no longer reactive or fragmented — it is becoming intelligent, predictable, and scalable.


What we did?

What we did?

UX Design

AI Classification Engine

UX Design

Development

UX Design & Development

AI Classification Engine

Web, responisve

Demand Forecasting

Demand Forecasting

What we did?

AI Classification Engine

UX Design & Development

Product Recommendation Enginer

NLP

Demand Forecasting

Shaping Smarter

Shaping Smarter

Dental Practices

Dental Practices

Together.

Together.

AI Adaptive

AI Adaptive

Connected

Connected

Scalable

Scalable

The complete solution for modern dental practices. Streamline operations, enhance patient care and grow your practice.

The complete solution for modern dental practices. Streamline operations, enhance patient care, and grow your practice.

Follow us

© 2026 CuroTwin. All rights reserved.

© 2026 CuroTwin. All rights reserved.

Privacy Policy

Privacy Policy

Terms of Service

Terms of Service

Cookie Policy