Category: Automation

As manufacturers look ahead to the new year, production planning becomes a critical strategic exercise. Decisions around capacity, maintenance schedules, staffing, and material purchasing all depend on accurate historical data and reliable forecasting. When that data lives in disconnected systems or spreadsheets, planning becomes reactive instead of strategic.

With Claris FileMaker, manufacturers can centralize production data and use workflow automation to build informed, flexible production plans for the year ahead.

Use Historical Production Data to Model Capacity

FileMaker allows teams to consolidate production metrics such as:

• Units produced by line or machine
• Cycle times and throughput rates
• Downtime and changeover history
• Labor utilization
• Yield and scrap rates

By analyzing this data across months or quarters, FileMaker dashboards can highlight true production capacity rather than theoretical maximums. This helps operations teams model realistic output targets and avoid overcommitting resources.

Automate Maintenance Planning and Downtime Forecasting

Unplanned downtime can derail even the best production plan. With FileMaker, maintenance history and equipment performance data can be tied directly to production schedules.

Automated workflows can:

• Flag equipment nearing service thresholds
• Schedule preventive maintenance during low-demand periods
• Forecast downtime based on historical patterns
• Alert teams before maintenance conflicts impact production

This proactive approach reduces risk and keeps production plans achievable.

Forecast Material Usage and Procurement Needs

FileMaker can also connect production forecasts with inventory and purchasing data to estimate material requirements for the coming year. Based on planned output, the system can calculate:

• Raw material consumption
• Component demand by product line
• Safety stock requirements
• Long-lead item purchase timelines

Automated alerts and reports help procurement teams place orders earlier, negotiate better pricing, and avoid last-minute shortages.

Flexible Planning with Automated Workflows

Because FileMaker workflows are fully customizable, production plans can be adjusted dynamically as conditions change. Teams can model multiple scenarios, such as demand increases, staffing constraints, or equipment upgrades, and instantly see the downstream impact on schedules, materials, and capacity.

 

This flexibility is especially valuable for manufacturers operating in volatile markets or managing custom or short-run production.

Why It Matters

Using FileMaker for production planning allows organizations to:

• Base plans on real operational data
• Reduce downtime and maintenance surprises
• Align production, maintenance, and procurement teams
• Improve forecast accuracy
• Enter the new year with a clear, executable plan

Instead of reacting to problems as they arise, teams can plan proactively and adjust with confidence.

Claris FileMaker provides manufacturers with a powerful platform for preparing next year’s production plans through data-driven insights and workflow automation. By modeling capacity, scheduling maintenance intelligently, and accurately forecasting material usage, organizations can set themselves up for a more efficient and predictable year ahead.

Interested in building automated production planning workflows with Claris FileMaker? Reach out to Kyo Logic here, and we’d be happy to help.

FileMaker 2025 continues to expand its AI capabilities with support for semantic search across not just text—but also images and files. With new vector and embedding functions, developers can now create smarter, context-aware searches that surface the most relevant content, whether it’s a paragraph in a PDF or a specific image stored in a container field.

This evolution transforms FileMaker from a traditional database into a true semantic data platform, where meaning—not just matching words—guides search results.

What Are Embeddings and Vectors?

At the core of semantic search are embeddings—mathematical representations of meaning. Text, images, and even file content can be converted into vector form, allowing FileMaker to compare their similarity based on context instead of keywords.

For example, a search for “eco-friendly packaging” could return:

• Product descriptions mentioning “sustainable materials”
   
• A PDF datasheet for recyclable containers
   
• Images tagged with “biodegradable”
   

Even though those results don’t use the exact search term, FileMaker understands they’re conceptually related.

Searching Across Images, PDFs, and More

With vector and embedding functions, FileMaker 2025 can now perform semantic search on multiple content types, including:

• Images: Find visually similar photos or product shots.
   
• Documents: Locate PDFs or text files with related topics.
   
• Notes and Descriptions: Match records based on concept, not wording.
   

This makes it possible to unify data that previously lived in silos—connecting written content, visuals, and supporting documents in one intelligent search interface.

Real-World Use Cases

• Manufacturing: Locate quality control photos related to specific defect reports.
   
• Healthcare: Retrieve reference materials or patient documents that align with a particular case.
   
• Legal: Find similar contracts or clauses based on meaning rather than keywords.
   
• Creative Industries: Search image libraries by theme, emotion, or visual style.
   

By understanding relationships across different data types, FileMaker enables more intuitive and efficient information retrieval.

Why It Matters

Semantic search with embeddings helps organizations:

• Discover related insights faster, even in large or unstructured datasets
   
• Reduce time spent hunting through files, folders, or records
   
• Provide a unified, intelligent search experience for all content
   
• Keep all search processing within the secure FileMaker environment
   

This means more time spent acting on insights—and less time searching for them.

FileMaker 2025 pushes search beyond keywords with AI-powered semantic capabilities that span text, images, and files. With vector and embedding functions, developers can build truly intelligent apps that surface the right content, every time—no matter the format.

Interested in exploring how semantic search can enhance your FileMaker solutions? Reach out to Kyo Logic here.

 

FileMaker 2025 brings artificial intelligence directly into your data workflows with Retrieval-Augmented Generation (RAG)—a powerful new way to make documents searchable, understandable, and actionable. By combining RAG with FileMaker’s new GetTextFromPDF function, developers can now build apps that automatically extract, summarize, and query PDF content in real time.

This innovation transforms how organizations interact with contracts, reports, manuals, and other document-heavy data sources.

Turning PDFs into Searchable Knowledge

Traditionally, PDFs stored in container fields were static files—useful for reference, but difficult to search or analyze. With FileMaker 2025, the new GetTextFromPDF function extracts the full text from PDFs directly inside your app, converting them into structured, searchable data.

Once the text is available, FileMaker’s built-in AI features can interpret and summarize it instantly—creating a bridge between unstructured documents and meaningful insights.

Adding Intelligence with Retrieval-Augmented Generation (RAG)

RAG takes document handling a step further. Instead of relying on pre-trained models alone, it allows AI to reference your organization’s own PDFs and data when answering questions or generating summaries.

Example use cases:

• Summarize long contracts or policy documents in seconds
   
• Ask, “What are the delivery terms in this agreement?” and get an AI-generated response grounded in the document’s actual text
   
• Analyze reports to highlight key metrics or identify anomalies
   

By connecting FileMaker’s data handling with contextual AI, RAG ensures that every response is accurate, relevant, and based on your trusted information.

Real-World Impact

These RAG-powered capabilities are especially valuable in industries where document accuracy and compliance matter most:

• Legal: Instantly summarize contracts and identify key clauses
   
• Manufacturing: Extract technical specs from PDF manuals
   
• Healthcare: Query compliance and policy documents securely
   
• Finance: Review reports and flag key performance insights automatically
   

All of this happens natively within the Claris FileMaker environment—no need for third-party integrations or external services.

Why It Matters

By pairing RAG with FileMaker’s new text extraction tools, developers can create apps that:

• Turn static PDFs into living, searchable knowledge bases
   
• Automate reporting and documentation workflows
   
• Reduce manual review time while improving accuracy
   
• Keep sensitive document data secure inside FileMaker
   

iWith RAG-powered document summaries, FileMaker 2025 redefines what’s possible for document management. Your apps can now extract, summarize, and query PDFs intelligently—delivering instant answers from your own data.

Want to see how Claris FileMaker can bring AI-powered document intelligence to your organization? Reach out to Kyo Logic here.

 

FileMaker 2025 takes a big leap forward in document intelligence with the introduction of GetTextFromPDF and support for Retrieval-Augmented Generation (RAG) workflows. Together, these features enable developers to extract content from PDFs, feed it into AI queries, and deliver smarter, context-aware responses—all from within FileMaker.

For organizations managing contracts, manuals, reports, or compliance documents, this unlocks powerful new ways to make data more accessible.

Extracting Text from PDFs with GetTextFromPDF

The new GetTextFromPDF function allows developers to pull plain text directly from PDFs stored in FileMaker container fields. This removes the need for external tools or manual copy-pasting.

Example use cases:

• Extracting contract terms for automated review
  
  

• Pulling specifications from technical manuals
  
  

• Making historical reports searchable inside FileMaker
  
  

With documents converted into structured text, your FileMaker app becomes a repository for smarter queries and workflows.

Adding AI with Retrieval-Augmented Generation (RAG)

Once text is extracted, FileMaker can apply RAG workflows by sending relevant content to an AI model. Instead of relying on generic knowledge, the AI can answer questions based on your own documents.

Example use cases:

• Ask “What’s the warranty period in this contract?” and receive an AI-generated response grounded in the extracted text
  
  

• Search policies and instantly surface the relevant compliance rules
  
  

• Build knowledge bases that combine multiple PDFs into a single, AI-driven query system
  
  

RAG ensures responses are not only intelligent but also accurate and based on your organization’s actual content.

Smarter Document-Driven Apps

By combining GetTextFromPDF and RAG, developers can build FileMaker apps that:

• Transform static PDFs into searchable knowledge assets
  
  

• Automate compliance checks and reporting
  
  

• Empower employees to query documents naturally, without needing to dig through lengthy files
  
  

This makes FileMaker a powerful platform for industries where document management and accuracy are mission-critical.

FileMaker 2025 turns everyday documents into intelligent, searchable resources. With GetTextFromPDF and RAG capabilities, you can build apps that not only store PDFs but also understand them—delivering real-time insights and smarter workflows.

Interested in exploring how Claris FileMaker can power AI-driven document intelligence? Reach out to Kyo Logic here.

 

 

FileMaker 2025 introduces native AI and large language model (LLM) capabilities, giving developers the power to build intelligent workflows without relying on complex integrations or external tools. From generating content to interpreting natural language queries, these new features make it possible to deliver smarter, faster, and more intuitive applications—directly within the FileMaker ecosystem.

Prompt-Based Scripting for Dynamic Content

The new Generate Response from Model script step allows you to send prompts directly to supported AI providers (such as OpenAI or Cohere) and bring the results back into FileMaker instantly. This enables dynamic content creation and on-demand text generation inside your custom apps.

Example use cases:

• Summarizing long client emails for faster review
   
• Drafting proposals or status updates directly in FileMaker
   
• Generating consistent, branded responses for customer service teams
   

Natural Language Queries for Data Access

With Perform SQL Query / Find by Natural Language, users can search for records using plain English instead of technical query syntax. FileMaker interprets the request, converts it into an SQL or Find operation, and delivers the matching results in real time.

Example use cases:

• “Show all invoices from the past six months over $5,000”
   
• “List customers who purchased product X last year”
   

This feature lowers the barrier for non-technical team members while speeding up information retrieval.

Reusable Prompt Templates and Predictive Analytics

Developers can now configure Prompt Templates and ML Regression Models for AI-driven workflows that are consistent and repeatable. Predictive analytics can be embedded directly into business processes, enabling smarter forecasting and decision-making.

Example use cases:

• Predicting future sales based on historical trends
   
• Creating reusable AI prompts for marketing copy or internal reports
   

Why This Matters

By integrating AI natively, FileMaker 2025 eliminates the friction of managing third-party tools for AI features. Businesses can now:

• Build custom AI-powered workflows tailored to their industry
   
• Keep sensitive data inside the trusted FileMaker environment
   
• Give teams natural language tools for faster, more accurate work
   
• Deliver more responsive and intelligent applications without heavy coding
   

The AI and LLM features in FileMaker 2025 aren’t just a glimpse of the future—they’re tools you can use right now to make your apps smarter and your workflows more efficient. From natural language queries to dynamic, AI-generated content, these capabilities open new possibilities for innovation inside your existing solutions.

Want to see how Claris FileMaker’s AI features can transform your workflows? Reach out to Kyo Logic here.

 

 

The FileMaker 2025 release marks a major leap forward for Claris developers, introducing a suite of AI and large language model (LLM) capabilities that bring intelligence directly into your custom applications. With these new features, businesses can build smarter, faster, and more intuitive systems—using AI not just for novelty, but as a core part of their workflows.

From generating dynamic content to enabling natural language search and semantic analysis, FileMaker’s AI toolkit unlocks possibilities that were unthinkable in earlier versions. Here’s a look at what’s new and how it could transform your apps.

Generate AI Responses with Prompt-Based Scripting

Developers can now integrate AI-generated content directly into their apps using prompt-based scripting. With the Generate Response from Model feature, FileMaker can send user-defined prompts to an AI provider like OpenAI or Cohere and return context-aware results in real time.

Use case: Automatically generate email drafts, marketing content, or client-facing summaries directly within your FileMaker system—tailored to your specific business needs.

Perform SQL Queries and Finds Using Natural Language

With Perform SQL Query / Find by Natural Language, users no longer need to know complex query syntax. FileMaker interprets plain text commands, converts them into SQL or FileMaker queries, and executes them seamlessly.

Use case: A team member types “Show all orders over $5,000 from last quarter” into a search field. FileMaker translates it into a precise query and displays the results instantly.

Reusable Prompt Templates and Regression Models

The addition of Prompt Templates and ML Regression Models allows developers to create reusable AI logic within apps. This makes it easy to standardize AI-powered processes and apply predictive analytics where needed.

Use case: Build a predictive model to forecast inventory demand based on historical sales and integrate it into multiple layouts or workflows.

RAG Actions for Knowledge Base Integration

Retrieval-augmented generation (RAG) enables FileMaker to pull information from PDFs and documents in your system and use it as a context source for AI responses.

Use case: Create an AI-powered help assistant that answers employee questions using your company’s internal manuals and policies stored in FileMaker.

Vector Functions for AI Semantic Search

With new vector math functions, FileMaker supports semantic search capabilities. This allows applications to understand user intent and deliver more relevant results—even when exact keywords aren’t used.

• Normalize, add, and subtract embeddings for advanced data analysis.
   
• Enable semantic search on text and images for a more intuitive user experience.
   

Use case: A user searches “eco-friendly packaging” and FileMaker retrieves related product records, even if those exact words don’t appear in descriptions.

Why These Features Matter

The new AI/LLM features in FileMaker allow businesses to:

• Work Smarter – Automate content creation, search, and data analysis tasks that were previously manual.
   
• Deliver Better UX – Let users interact with apps in natural language, improving accessibility and adoption.
   
• Stay Competitive – Build intelligent systems without relying on external platforms or extensive custom code.
   
• Maintain Data Security – Keep AI workflows within the trusted FileMaker ecosystem.
   

FileMaker’s new AI/LLM capabilities are designed to help developers and businesses build the next generation of custom apps—smarter, faster, and more intuitive. From natural language queries to predictive analytics and semantic search, these tools make it possible to integrate AI at every level of your solution.

Interested to learn more about how Claris FileMaker’s AI features can transform your workflows? Reach out to Kyo Logic here.

 

The next wave of innovation is here—FileMaker’s AI capabilities are expanding rapidly, with new script steps and support for multiple providers like OpenAI, Cohere, and even self-hosted large language models (LLMs). For businesses that manage high-volume data, this opens up incredible opportunities to automate repetitive tasks, gain insights faster, and deliver smarter workflows.

This article explores a real-world example of how these tools could transform operations for a temporary employment agency and outlines how to set up a powerful AI-powered workflow in FileMaker.

The Use Case: Summarizing Candidate Work History Automatically

A temp agency receives hundreds of applications every week. Each candidate submits a detailed work history via an online form. Staff must then:

• Review the submissions
   
• Summarize them into a concise, professional paragraph for client-facing documents
   
• Upload the summary into their database for future reference
   

This manual process takes hours of staff time each day. With FileMaker’s new AI capabilities, the process can be streamlined and largely automated. It’s a simple process of collecting data in gravity forms, storing them in Claris FileMaker, sending it to the AI of your choice, and then taking that information back to FileMaker.

Step 1: Collect Candidate Data via Gravity Forms

Candidates submit their experience and work history through a Gravity Forms web form. Fields such as previous jobs, skills, and certifications are automatically sent to FileMaker using Claris Connect.

Step 2: Store Raw Data in FileMaker

In FileMaker, the raw text from the form is stored in the candidate’s record. This serves as the source material for the AI.

Step 3: Send Data to an AI Model

Using FileMaker’s new AI script steps, the app sends the candidate’s work history text to an AI provider.

Example prompt template:
“Summarize this work history into a concise, professional paragraph suitable for client-facing documents.”

The system supports multiple AI providers—OpenAI for general summaries, Cohere for narrative-focused outputs, or a self-hosted model for organizations with strict data privacy requirements.

Step 4: Generate PDF with Summarized Experience

Once the AI returns the summary, FileMaker:

• Inserts it into a PDF document template
   
• Saves the PDF to the candidate’s FileMaker record
   
• Notifies staff that the summary is ready
   

Step 5: Sync Back for Future Use

The summarized experience is now available in FileMaker for quick reuse in proposals, client presentations, and compliance reporting.

 

For a temp agency, this workflow can:

• Save hours of manual writing each week
   
• Improve consistency across candidate profiles
   
• Ensure data security by keeping everything within FileMaker
   
• Offer flexibility to choose between multiple AI providers
   

This workflow is equally valuable for legal firms summarizing case files, healthcare providers compiling patient histories, or sales teams generating lead summaries.

 

With FileMaker’s expanding AI feature set—including vector functions, semantic search, and retrieval-augmented generation (RAG)—this is only the beginning. Businesses can now build smarter, AI-enhanced workflows natively in FileMaker while using Claris Connect to tie their broader ecosystem together.

FileMaker’s AI integration and multi-provider support open new doors for automation and insight. From temp agencies to healthcare and beyond, businesses can now build intelligent systems that save time and deliver better outcomes. Interested to learn how Claris FileMaker can bring AI workflows to your operations? Reach out to Kyo Logic here.

User onboarding is one of the most repetitive yet critical tasks for IT and FileMaker admins. When new employees, clients, or users are added to your system, a smooth onboarding experience sets the tone—and saves your team from tedious manual steps. Instead of juggling spreadsheets, emails, and system updates, you can automate it all.

Claris Connect gives FileMaker administrators the ability to streamline user onboarding by triggering automated workflows the moment a new user record is created. From welcome emails to system updates, Claris Connect handles the details—so you can focus on more strategic work. Claris Studio provides the front end, collecting input data and displaying statuses.

The Problem with Manual Onboarding

Without automation, onboarding is a slow, error-prone process. Important steps can be missed. Someone may forget to create a login or assign permissions, costing valuable time. The experience may be inconsistent across teams or for individuals– some may not get the same information or have it presented in the same way. Manual entry and updating can also mean that system records aren’t synced. Lastly, but most importantly, IT and Admin teams may already be stretched thin. Every new user adds to the queue, and this may not be the best use of these teams.

Claris Connect solves this by turning user creation in FileMaker into a smart, multi-step workflow.

How Claris Connect Automates User Onboarding

Claris Connect lets you create no-code flows that trigger based on FileMaker actions—like creating a new user record. Once triggered, the flow can:

• Send Welcome Emails Automatically
  Use Gmail, Outlook, or another email tool to deliver a custom-branded welcome message or login instructions.
   
• Update Team Messaging Platforms
  Automatically send a Slack message to the IT or HR channel announcing a new user to provision.
   
• Create Accounts in Other Apps
  Push new user data to systems like Google Workspace, Microsoft 365, or project management tools.
   
• Add to Mailing Lists or CRM
  Sync new users to email marketing platforms or customer databases for onboarding sequences.
   
• Log Onboarding Progress
  Update FileMaker fields or Google Sheets to show when each onboarding step is completed.
   

Example Flow: FileMaker → Email + Slack + CRM

1. A new user is added to FileMaker.
    
2. Claris Connect sends a welcome email via Gmail.
    
3. A Slack message notifies the admin team.
    
4. The user is added to a Mailchimp list for onboarding emails.
    
5. FileMaker updates the onboarding status field to “Initiated.”
    

All of this happens in seconds—automatically.

With Claris Connect and Claris Studio, FileMaker admins can automate user onboarding from end to end. From sending welcome emails to updating internal systems, these Claris offerings ensure every new user has a smooth, consistent experience—while saving your team time and reducing errors. Interested to learn more about how Claris Connect and Claris FileMaker can solve for onboarding automation? Reach out to Kyo Logic here.

Client interactions are at the heart of business relationships—but capturing, organizing, and logging those conversations into your CRM? That’s often a manual chore that gets delayed or skipped entirely. What if your FileMaker system could automatically summarize meeting notes, analyze tone, and log next steps, all without writing a single line of custom code?

Now it can.

Thanks to powerful no-code integrations with OpenAI, Google Gemini, Claris Connect, and Make, FileMaker users can now build intelligent, AI-assisted workflows faster and easier than ever before.

The Problem: CRM Notes Are Often Messy or Missing

For client service teams, sales reps, and project managers, capturing notes after a meeting is essential—but it’s also time-consuming. As a result, notes are often:

• Inconsistent in format or quality
  
  
• Stored in personal files or notebooks
  
  
• Forgotten altogether after a busy day
  
  
• Entered into CRMs too late to be actionable
  
  

Even when notes are entered, the insights within them often go underutilized. There’s no tagging, no sentiment analysis, no clarity on next steps. The result? A CRM that stores data, but doesn’t surface insight.

The Solution: No-Code AI Integration with FileMaker

With a few simple tools, you can now pipe data directly from FileMaker into an AI model, receive back a summarized version, and post it right into your client record—all automatically.

This setup uses:

• Claris Connect – Apple’s official automation platform for integrating FileMaker with other tools
  
  
• Make (formerly Integromat) – A flexible, visual automation builder
  
  
• OpenAI or Google Gemini – For powerful natural language processing
  
  

How It Works (At a High Level)

1. A user logs raw notes into a FileMaker field—typed in or pasted from a transcript.
   
   
2. Claris Connect and Make detect the new data and send it to an AI service (like OpenAI).
   
   
3. The AI processes the input and returns:
   
   
   
   • A clean summary of the conversation
     
     
   • Suggested action items or follow-ups
     
     
   • Sentiment tags (e.g. positive, neutral, urgent)
     
     
4. FileMaker automatically logs these results in the client’s record—organized, actionable, and searchable.
   
   

This workflow can run in the background or display results for review before finalizing.

What Makes This a Game-Changer?

• No Plugins or Custom Code Required – Everything is handled with native integrations and visual automation tools.
  
  
• AI-Powered Insight – The CRM becomes a smart assistant, not just a static record.
  
  
• Consistency Across Teams – Every user gets help structuring their notes, making data more useful.
  
  
• Actionable Follow-Ups – Get clarity on next steps immediately, without reviewing full transcripts.
  
  

Real-World Use Cases

• Sales Teams – Automatically summarize discovery calls and flag key buying signals.
  
  
• Support Teams – Tag customer sentiment and urgency after help desk conversations.
  
  
• Client Services – Log client feedback with follow-up tasks already defined.
  
  
• Internal Projects – Turn messy meeting notes into clear next steps for execution.
  
  

The Bottom Line: Insight Without the Overhead

You don’t need to be a machine learning engineer to add AI to your FileMaker system anymore. With today’s integration tools, you can tap into the power of GPT or Gemini to:

• Save time
  
  
• Improve data quality
  
  
• Make smarter decisions
  
  
• And actually use your CRM as a customer relationship tool—not just a digital filing cabinet.
  
  

 

Want help setting up a no-code AI workflow in your FileMaker system? Let’s talk—we’ll show you how quickly it can come to life.

 

In fast-moving environments like conventions, field service, or equipment rentals, staying on top of inventory is crucial. Missing or overbooked items can lead to project delays, lost revenue, and unhappy clients. To operate efficiently, businesses need a way to track every delivery and return as it happens—with total accuracy and visibility.

Claris FileMaker offers a powerful way to track inventory in real time. With a custom FileMaker app, your team can monitor stock levels across multiple locations, log item deliveries and returns on the go, and reduce manual errors with barcode scanning or automated workflows. The result is a streamlined process that keeps everyone aligned—whether they’re in the office, on the warehouse floor, or at a client site.

Why Real-Time Inventory Tracking Matters

Outdated or manual tracking methods often lead to:

• Inaccurate Stock Counts – Items go missing or are double-booked.
   
• Delayed Deliveries – Teams lose time locating available inventory.
   
• Lost Revenue – Unavailable or forgotten items cause missed opportunities.
   
• Disjointed Workflows – Teams rely on phone calls or emails to confirm stock status.
   

These issues are magnified when your operations involve multiple events, frequent shipments, or 3PL coordination.

How FileMaker Simplifies Real-Time Inventory Management

With Claris FileMaker, your inventory system can be built to match your exact workflows. Here’s how it helps:

• Live Inventory Dashboards
  FileMaker apps show current item counts by category, location, and status. Warehouse teams and project managers can instantly see what’s available.
   
• Mobile Check-In/Check-Out
  Staff can scan items in and out using iPads or iPhones, automatically updating inventory in the central database.
   
• Track Deliveries and Returns
  Document the delivery, return, and condition of each item. Attach photos or notes to create an auditable chain of custody.
   
• Automate Notifications
  Trigger alerts when inventory is low or when returns are overdue, helping you stay proactive.
   
• 3PL Integration
  Coordinate inventory movement with third-party logistics providers by syncing FileMaker with external tracking systems or importing manifest data.
   

Designed for Your Operations

Unlike rigid out-of-the-box systems, FileMaker lets you customize every field, status, or report. Need to track serial numbers, condition reports, or upcoming reservations? Want to generate usage reports by event or client? You can build it all into your FileMaker solution—no coding team required.

Real-time inventory tracking is the foundation of smooth operations, especially when deliveries and returns happen on tight schedules. With Claris FileMaker, you gain full visibility into your stock, streamline coordination with teams and vendors, and prevent costly errors. Interested to learn more about how Claris FileMaker can solve for real-time inventory tracking? Reach out to Kyo Logic here.