01
Inventory visibility
Bring inventory counts, locations, shortages, and slow-moving stock into a clearer operational view.
Turn manufacturing data into operational intelligence.
Operational intelligence for SME manufacturing
A clearer view of inventory, orders, customers, and daily operations.
Connect fragmented ERP, Excel, and operational data to uncover insights, identify risks, and support better decisions with practical AI.
Illustrative interface · Sample data, not measured results.
Opportunities in your operations
Find where AI can make a practical difference.
Start with the operational challenges that matter: inventory, orders, customers, workflows, and management reporting.
02
Order tracking
Connect order status, production progress, purchasing, and delivery risks so your team spends less time chasing updates.
03
Customer intelligence
Make customer records, quotes, follow-ups, and order history easier to find, understand, and use.
04
Workflow automation
Identify opportunities to streamline approvals, reminders, reporting, exception notices, and cross-team coordination.
05
Lightweight operational systems
Assess where focused customer, inventory, and order tools can reduce spreadsheet work while fitting around your existing systems.
06
AI use-case discovery
Identify where AI could solve a clear business problem, with a scope and outcome you can evaluate.
Is this a fit?
A practical starting point for your business.
If two or more of these challenges sound familiar, a discovery call can help you assess your options.
Book a 30-minute discovery callYou manage inventory, orders, or customer records in Excel
You rely on manual updates to understand daily progress
Your ERP is difficult for employees to use
Customer information is scattered across messages and personal files
You want to use AI but need a clear starting point
You are planning a succession, expansion, or process improvement
Clear boundaries for business data
Before a pilot, we agree on authorized data, access controls, model providers, retention, and deployment requirements. Review our data security principles.
Read our data security principlesOur approach
Start with one workflow. Prove its value.
Start small, validate fast, then expand into core operations.
01
Business discovery
Review inventory, orders, customers, workflows, and data to identify the most valuable starting point.
02
A testable prototype
Build a focused prototype your team can explore before committing to a wider rollout.
03
Phased rollout
Expand into core workflows once value is demonstrated, with time for your team to adopt the system.
A focused first step
Build on what already works.
- Complement your existing ERP before considering a replacement
- Connect AI to real operational workflows
- Validate the business need before investing in a wider system
Validate a use case → Structure the data → Add an AI workflow → Expand in stages
Illustrative platform demo
Explore the Platform
Explore an illustrative order-management scenario with sample data. A pilot would use only the business data you authorize.
Solutions
An intelligence layer for your existing operations.
Designed around manufacturing workflows.
We scope each engagement around your data, systems, and operational needs. Integrations and capabilities are confirmed during discovery.
01
AI assistants
Explore assistants that answer operational questions and prepare draft reports from authorized data, with human review for consequential actions.
02
Business knowledge
Organize procedures, documents, and business records into a searchable knowledge layer for your team.
03
Workflow automation
Assess how approved data flows across ERP, CRM, and spreadsheets could become more reliable and traceable.
04
Operations overview
Bring operational information together to support the questions manufacturing leaders need to answer.
Why Five Oranges AI
Three principles that guide our work.
Practical engineering. Clear boundaries. Shared ownership.
01
Workflow first
We start with a specific business process and define where an assistant could help.
02
Traceability
Our design priority is to connect reported information to source records and make uncertainty visible.
03
Built with your team
We work alongside your team to shape a solution around the way your business operates.
Potential use cases
Practical scenarios to explore together.
Illustrative workflows. Scope and availability are assessed for each engagement.
Our philosophyAI doesn't replace operators.
AI doesn't replace operators.
It frees them to think.
Useful AI has to earn its place in daily operations. We focus on workflows that teams can understand, evaluate, and maintain—starting with a concrete business problem.
Frequently asked questions
Questions from manufacturing leaders.
Do we need to replace our ERP first?
No. Start with a focused use case, such as inventory visibility, order tracking, or customer records. We aim to complement the systems you already use.
Can we start if our data is in Excel?
Yes. First, we review your data structure and workflow rules. Then we assess whether a lightweight system, automation, or an AI assistant is the right fit.
What happens on the 30-minute call?
We discuss your current tools, operational challenges, priority use cases, and a realistic prototype scope before recommending a next step.
How do you assess the value of AI?
We focus on practical, testable, maintainable workflows. We recommend AI where it can serve a clear business need and evaluate results before expanding.
Beyond the scope
Ready to see it run on your data?
Start with a focused conversation about your operations.
Book a 30-minute discovery call. We’ll review your most pressing workflow and give you a candid assessment of where AI could help.