Vxceed delivers SaaS options throughout industries akin to shopper packaged items (CPG), transportation, and logistics. Its modular environments embrace Lighthouse for CPG demand and provide chains, GroundCentric247 for airline and airport operations, and LimoConnect247 and FleetConnect247 for passenger transport. These options assist a variety of shoppers, together with authorities businesses in Australia and New Zealand.
In 2024, Vxceed launched a method to combine generative AI into its options, aiming to reinforce buyer experiences and enhance operational effectivity. As a part of this initiative, Vxceed developed LimoConnectQ utilizing Amazon Bedrock and AWS Lambda. This answer allows environment friendly doc looking, simplifies journey reserving, and enhances operational choices whereas sustaining information safety and safety.
The problem: Balancing innovation with safety
Vxceed’s clients embrace authorities businesses accountable for transporting high-profile people, akin to judiciary members and senior officers. These businesses require extremely safe methods that adhere to requirements like Info Safety Registered Assessors Program (IRAP), utilized by the Australian authorities to evaluate safety posture.
Authorities businesses and huge companies that deal with safe floor transportation face a novel problem: offering seamless, environment friendly, and safe operations whereas adhering to strict regulatory necessities. Vxceed Applied sciences, a software-as-a-service (SaaS) supplier specializing in floor transportation and useful resource planning, acknowledged a chance to reinforce its LimoConnect answer with generative AI. Vxceed initially explored varied AI options however confronted a crucial hurdle: verifying that buyer information remained inside their devoted personal environments. Current AI choices typically processed information externally, posing safety dangers that their purchasers couldn’t settle for.
Vxceed wanted AI capabilities that might operate inside a extremely managed atmosphere, serving to to make sure full information privateness whereas enhancing operational effectivity.
This problem led Vxceed to make use of Amazon Bedrock, a completely managed service that gives a selection of high-performing basis fashions (FMs) from main AI firms by way of a single API.
LimoConnect Q answer overview and implementation highlights
To deal with the challenges of safe, environment friendly, and clever floor transportation administration, Vxceed developed LimoConnect Q, an AI-powered answer. LimoConnect Q’s structure makes use of Amazon Bedrock, Amazon API Gateway, Amazon DynamoDB, and AWS Lambda to create a safe, scalable AI-powered transportation administration system. The answer implements a multi-agent structure, proven within the following determine the place every part operates inside the buyer’s personal AWS atmosphere, sustaining information safety, scalability, and intuitive person interactions.
Determine 1 – Vxceed’s LimoConnect Q structure
Let’s dive additional into every part on this structure:
Conversational journey reserving with clever orchestration utilizing Amazon Bedrock Brokers
Past doc queries, LimoConnect Q revolutionizes journey reserving by changing conventional varieties and emails with a conversational AI-driven course of. Customers can state their journey necessities in pure language. Key options embrace:
- Pure language: Processes pure language reserving requests based mostly on journey context and preferences, for instance:
- Schedule airport pickup for dignitaries at 9 AM tomorrow to the convention middle.
- E-book airport to my workplace switch subsequent Monday at 10 AM.
- Automated information retrieval and processing: LimoConnect Q integrates with a number of information sources to:
- Validate pickup and drop-off areas utilizing geolocation providers
- Automates handle geocoding and exterior API lookups, verifying correct bookings.
- Confirm car and driver eligibility by way of Amazon Bedrock Brokers
- Retrieve related journey particulars from previous bookings and preferences
- Seamless reserving execution: After the request is processed, LimoConnect Q routinely:
- Confirms the journey
- Supplies customized suggestions based mostly on reserving historical past
- Sends real-time reserving updates and notifies related personnel (for instance, drivers and dispatch groups)
This conversational method minimizes handbook processing, reduces reserving errors, and enhances person comfort—particularly for busy professionals who want a quick, friction much less method to prepare transportation.
Safe RAG for coverage and doc querying utilizing Amazon Bedrock Data Bases
Probably the most crucial functionalities of LimoConnect Q is the flexibility to question coverage paperwork, procedural manuals, and operational tips in pure language. Historically, accessing such data required handbook searches or skilled help, creating inefficiencies—particularly when skilled employees aren’t accessible.
Vxceed addressed these challenges by implementing a Retrieval Augmented Era (RAG) framework. This method generates responses that align with insurance policies, incorporate related details, and take into account context. The answer delivers the flexibility to:
- Question paperwork in pure language: As an alternative of looking manually, customers can ask questions like What’s the protocol for VIP pickup on the airport?
- Limit AI-generated responses based mostly on RAG: Use RAG to be sure that solutions are pulled solely from permitted, up-to-date paperwork, sustaining safety and compliance.
- Maintain delicate information inside the buyer’s atmosphere: LimoConnect Q maintains information privateness and compliance by preserving queries inside the buyer’s personal AWS atmosphere, offering end-to-end safety.
This functionality considerably improves operational effectivity, permitting customers to get on the spot, dependable solutions as a substitute of counting on handbook lookups or skilled availability.
Multi-agent AI structure for safe orchestration
Vxceed constructed a multi-agent AI system on Lambda to handle LimoConnect Q’s transportation workflows. The structure contains brokers that deal with dispatch, routing, and scheduling duties whereas sustaining safety and scalability.
- Intent recognition agent: Determines whether or not a person request pertains to doc retrieval, journey reserving, or one other features.
- Doc retrieval agent: Handles coverage queries utilizing RAG-based retrieval.
- Journey reserving agent: Processes person inputs, extracting key data akin to pickup and drop-off areas, time, car sort, passenger rely, and particular requests. It verifies that reserving data is supplied, together with title, contact particulars, and journey preferences. The agent validates addresses utilizing geolocation APIs for accuracy earlier than continuing. The agent then checks car and driver availability by querying the fleet administration database, retrieving real-time information on permitted assets. It additionally interacts with a person desire database, utilizing vector-based search to counsel customized choices.
- Flight data validation agent: Verifies flight schedules.
- Journey duplication agent: Checks for beforehand booked journeys with comparable particulars to assist keep away from duplicate bookings.
- Return journey agent: Analyzes previous journeys and preferences to suggest appropriate return choices, contemplating real-time car availability and driver schedules.
- Knowledge validation agent: Verifies safety coverage compliance.
- Exterior API agent: integrates with third-party providers akin to geolocation providers, scheduling interfaces, and transportation databases, offering real-time information updates for optimized journey coordination.
- Reserving retrieval agent: Helps customers retrieve present bookings or cancel them, querying the backend database for present and previous journeys.
After validation, LimoConnect Q makes use of Lambda features and Amazon Bedrock built-in APIs to course of bookings, replace databases, and handle notifications to drivers and dispatch groups. The modular structure allows Vxceed to seamlessly add new options like driver certification monitoring and compliance automation.
Constructed with safety at its core, LimoConnect Q makes use of Lambda for environment friendly dealing with of question spikes whereas implementing strong reminiscence isolation mechanisms. Every person session maintains non permanent reminiscence for contextual conversations with out everlasting storage, and strict entry controls guarantee session-specific information isolation, stopping cross-contamination of delicate data. This structure adhere to the stringent safety necessities of presidency and enterprise clients whereas sustaining operational effectivity.
Utilizing LimoConnect Q, clients have saved a median of quarter-hour per question, elevated first-call decision charges by 80 p.c, and reduce onboarding and coaching time by 50 p.c.
Guardrails
LimoConnect Q makes use of Amazon Bedrock Guardrails to keep up skilled, targeted interactions. The system makes use of denied subjects and phrase filters to assist stop unrelated discussions and unprofessional language, ensuring that conversations stay centered on transportation wants. These guardrails constrain the system’s responses to travel-specific intents, sustaining constant professionalism throughout person interactions. By implementing these controls, Vxceed makes certain that this AI answer delivers dependable, business-appropriate responses that align with their clients’ excessive requirements for safe transportation providers.
AI-powered instruments for floor transportation optimization
LimoConnect Q additionally incorporates customized AI instruments to reinforce accuracy and automation throughout varied transportation duties:
- Tackle geocoding and validation: AI-powered location providers confirm pickup and drop-off addresses, decreasing errors and sustaining correct scheduling.
- Automated journey matching: The system analyzes historic reserving information and person preferences to suggest essentially the most appropriate car choices.
- Function-based entry management: AI-driven safety protocols implement insurance policies on car assignments based mostly on person roles and clearance ranges.
These enhancements streamline operations, cut back handbook intervention, and supply a frictionless person expertise for safe transportation suppliers, authorities businesses and huge enterprises.
Why Vxceed selected Amazon Bedrock
Vxceed chosen Amazon Bedrock over different AI options due to 4 key benefits:
- Enterprise-grade safety and privateness: Amazon Bedrock offers personal, encrypted AI environments that hold information inside the buyer’s digital personal cloud (VPC), sustaining compliance with strict safety necessities.
- Seamless AWS integration: LimoConnect Q runs on Vxceed’s present AWS infrastructure, minimizing migration effort and permitting end-to-end management over information and operations.
- Entry to a number of AI fashions: Amazon Bedrock helps varied FMs, permitting Vxceed to experiment and optimize efficiency throughout completely different use circumstances. Vxceed makes use of Anthropic’s Claude 3.5 Sonnet for its means to deal with subtle conversational interactions and complicated language processing duties.
- Strong AI growth instruments: Vxceed accelerated growth through the use of Amazon Bedrock Data Bases, immediate engineering libraries and agent frameworks for environment friendly AI orchestration.
Enterprise influence and future outlook
The introduction of LimoConnect Q has already demonstrated vital operational enhancements, enhancing each effectivity and person expertise for Vxceed’s clients together with safe transportation suppliers, authorities businesses and enterprise purchasers.
- Sooner data retrieval: AI-driven doc querying reduces lookup occasions by quarter-hour per question, making certain fast entry to crucial insurance policies.
- Streamlined journey reserving: 97% of bookings now occur digitally, eradicating handbook workflows and enabling sooner confirmations.
- Enhanced safety and compliance: AI processing stays inside a non-public AWS atmosphere, adhering to strict authorities safety requirements akin to IRAP.
Past authorities clients, the success of LimoConnect Q powered by Amazon Bedrock has drawn robust curiosity from personal sector transportation suppliers, together with massive fleet operators managing as much as 7,000 journeys per 30 days. The flexibility to automate reserving workflows, enhance compliance monitoring, and supply safe AI-driven help has positioned Vxceed as a frontrunner in AI-powered floor transportation options.
Abstract
AWS partnered with Vxceed to assist their AI technique, ensuing within the growth of LimoConnect Q, an modern floor transportation administration answer. Utilizing AWS providers together with Amazon Bedrock and Lambda, Vxceed efficiently constructed a safe, AI-powered answer that streamlines journey reserving and doc processing. Wanting forward, Vxceed plans to additional refine LimoConnect Q by:
- Optimizing AI inference prices to enhance scalability and cost-effectiveness.
- Enhancing AI guardrails to assist stop hallucinations and enhance response reliability.
- Creating superior automation options, akin to driver certification monitoring and compliance auditing.
With these collaboration, Vxceed is poised to revolutionize floor transportation administration, delivering safe, environment friendly, and AI-powered options for presidency businesses, enterprises, and personal transportation suppliers alike.
In case you are thinking about implementing an identical AI-powered answer, begin by understanding tips on how to implement asynchronous AI brokers utilizing Amazon Bedrock. See Creating asynchronous AI brokers with Amazon Bedrock to be taught concerning the implementation patterns for multi-agent methods and develop safe, AI-powered options to your group.
Concerning the Authors
Deepika Kumar is a Answer Architect at AWS. She has over 13 years of expertise within the know-how business and has helped enterprises and SaaS organizations construct and securely deploy their workloads on the cloud securely. She is captivated with utilizing Generative AI in a accountable method whether or not that’s driving product innovation, enhance productiveness or enhancing buyer experiences.
Cyril Ovely, CTO and co-founder of Vxceed Software program Options, leads the corporate’s SaaS-based logistics options for CPG manufacturers. With 33 years of expertise, together with 22 years at Vxceed, he beforehand labored in analytical and course of management instrumentation. An engineer by coaching, Cyril architects Vxceed’s SaaS choices and drives innovation from his base in Auckland, New Zealand.
Santosh Shenoy is a software program architect at Vxceed Software program Options. He has a powerful give attention to system design and cloud-native growth. He focuses on constructing scalable enterprise functions utilizing fashionable applied sciences, microservices, and AWS providers, together with Amazon Bedrock for AI-driven options.
