AI Multilingual Chatbot for Financial Assistance
24/7 multilingual
support enabled through an AI chatbot.
Lower operational costs
achieved by automating FAQs and loan pre-qualification assistance.
Industries
Industries We Serve
Cross-industry engineering experience across regulated and high-growth sectors.
All IndustriesSuccess Story
Laboratory Workflow Automation
Integrating laboratory systems to automate container storage, retrieval, and lifecycle management.
Automated workflows
replaced manual container handling and reduced operational friction.
Improved traceability
with synchronized systems across container and sample lifecycle stages.
Technologies
Java
Spring Boot
React
Expertise
Back-end engineering
Event-driven architecture (EDA)
Web development
Client Overview
Daiichi Sankyo
Daiichi Sankyo is a global pharmaceutical company headquartered in Tokyo, Japan, with more than 125 years of scientific heritage. Formed in 2005, the company focuses on discovering, developing, and delivering innovative medicines that address unmet medical needs across oncology and cardiovascular care.
Through continuous investment in research, development, and advanced manufacturing, Daiichi Sankyo is committed to advancing science and improving patient outcomes worldwide.
Industries
Pharmaceuticals, healthcare
Headquarters
Tokyo, Japan
Company size
20,000+ employees
Challenges
Manual Lab Workflows
The lack of integration with the client’s internal platform created operational friction and limited visibility into laboratory workflows.
Have a Similar Problem?
Automate laboratory workflows while improving operational visibility and control.
Disconnected laboratory systems
The internal platform and the automated storage system operated independently, preventing seamless container management.
Missing automation APIs
No APIs existed to support automated store and retrieve operations across systems.
Manual container handling
Laboratory teams were required to perform manual intervention during container relocation.
Limited traceability
Container status and lifecycle information lacked consistent synchronization across platforms.
Have a Similar Problem?
Automate laboratory workflows while improving operational visibility and control.
Why They Chose Us
Trusted Automation Partner
Zoolatech was selected to help design and implement a scalable integration architecture while collaborating closely with the client’s internal engineering and laboratory teams.
Cross-domain engineering expertise
Zoolatech combines backend engineering, system integration, and UX capabilities to translate complex operational workflows into scalable software solutions.
Collaborative delivery model
Our engineers integrate seamlessly into client organizations, enabling close collaboration with product, engineering, and operational stakeholders.
Zoolatech is a senior-heavy engineering firm with Silicon Valley roots and a Miami HQ, specializing in legacy modernization, system re-architecture, and AI deployment to drive long-term, compounding value.
2017
Year Founded
600+
Employees
96%
Client Satisfaction
Workflow
Agile Delivery Across Cross-Functional Teams
The initiative followed an Agile delivery model with Zoolatech engineers embedded across multiple teams responsible for inventory management, UX, orchestration, laboratory integration, and quality assurance.
Phase 1
Workflow analysis
Conducted detailed analysis of laboratory processes and container management workflows.
Phase 2
System and API design
Designed APIs and integration architecture enabling automated container store and retrieve operations.
Phase 3
UI and workflow design
Defined user workflows enabling full container relocation with minimal interaction.
Phase 4
Development and automation implementation
Implemented backend services and orchestration logic enabling automated container lifecycle management.
Phase 5
QA and stabilization
Validated workflows across environments and stabilized the solution following production release.
By integrating laboratory platforms and automating container lifecycle workflows, the solution improved operational efficiency, traceability, and reliability across the laboratory ecosystem.
Solution
End-to-End Laboratory Automation Integration
Zoolatech delivered an integrated automation solution connecting the client’s internal platform with the automated sample storage system.
Cross-system integration layer
Created a seamless integration between an internal platform and an automated sample storage system.
Automated container workflows
Enabled end-to-end automation for storing and retrieving laboratory containers.
Standardized container lifecycle
Introduced consistent container status transitions and lifecycle management across systems.
Results
Strengthening Laboratory Automation and Reliability
The solution replaced manual operations with automated workflows, improving efficiency and visibility across laboratory processes.
Automated laboratory operations
Manual container handling was replaced with automated store and retrieve workflows.
Improved operational traceability
Container and sample status became visible and synchronized across systems.
Faster laboratory processes
Automation improved turnaround time for sample preparation and retrieval operations.
Business Value
Building a Scalable Laboratory Integration Foundation
The initiative established a scalable integration architecture that supports future laboratory automation initiatives.
Automation-ready platform
The solution enables additional laboratory workflows to be automated through standardized APIs and orchestration.
Long-term operational efficiency
Automated processes reduce manual intervention and improve reliability across laboratory operations.
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