Digital Transformation
Modernize the operating model, sequenced so the business keeps running.
StratylixAI, Automation & Enterprise Systems
Enterprise Technology for Intelligent Operations.
Stratylix builds the AI, automation, software, and data platforms that complex organizations run on — applied where they measurably improve how work gets done. We combine enterprise engineering depth across the stack with deep operations and supply chain expertise.
Why Stratylix
Differentiation we can actually demonstrate.
Technology decisions only matter if they work across real systems, real operations, and real business constraints. That is where Stratylix is built to operate.
Enterprise systems
Built around the systems that run operations.
ERP, WMS, TMS, OMS, MES, planning, data, and integration are treated as one connected operating estate — because that is how failure happens, and how improvement has to be delivered.
Operational depth
Technology decisions grounded in real operations.
Architecture and automation are tied to planning, procurement, manufacturing, inventory, warehousing, transportation, and fulfillment — not just to platform diagrams.
Outcome before technology
The business problem decides the solution.
If better data, process design, or integration solves the problem more effectively than AI, that is the recommendation. Technology should follow the outcome, not the other way around.
Strategy through execution
From architecture to production deployment.
The same thinking that shapes the strategy carries through implementation, integration, and launch — reducing the gap between what was designed and what actually runs in production.
Which part of your operation would you fix first?
Name the system, process or handoff causing the most friction. We will tell you what should be fixed, integrated, automated — or left alone.
The difference
Anything works in a demo. Ours has to work on Monday.
Monday is month-end close, a carrier that missed a pickup, an integration that half-succeeded. Systems earn their keep in the exceptions, not on the happy path — so the exceptions are what we design for.
Solutions
Six capabilities, engineered to work together.
Most enterprise problems do not respect service boundaries — we usually work in two or three of these at once.
Software Engineering
Business-critical applications built for scale, security and resilience.
Cloud & Infrastructure
Cloud strategy, migration and architecture. Vendor-neutral by default.
Data & Analytics
Fragmented operational data turned into decisions people trust.
Enterprise Applications
ERP, CRM, WMS, TMS, OMS, MES and planning kept in step rather than run as silos.
Supply Chain & Operations
End-to-end supply chain technology, from demand planning through delivery.
Where our depth is unusual
Supply Chain & Operations, end to end.
Plan, source, make, store, move, deliver — connected by an orchestration layer of data, automation and AI.
Plan
Match demand, supply, inventory and capacity into a plan the business can commit to.
Source
Bring materials and services in without surprises — and see supplier risk before it lands.
Make
Connect the plan to the shop floor, and the shop floor back to the enterprise.
Store
Run the warehouse as a system of record for inventory, labor and execution.
Move
Plan, tender, execute and track freight — and know when a delivery is going to miss.
Deliver
Promise accurately, allocate intelligently and handle the orders that go wrong.
Explore Supply Chain & Operations
Orchestrate
Visibility and control across every stage. A control tower is not a product you buy — it is what connected operational data makes possible. We design and integrate those capabilities on the systems you already run.
- Data
- Integration
- Automation
- AI
- Visibility
- Exception Management
Signature capability
AI that changes how work happens — not just how it looks.
The value shows up in exception queues, cycle times and decisions, not in a demo.
Enterprise AI
Readiness, architecture and governance. A systems problem, not an API call.
Generative AI
Copilots grounded in your own content, so answers cite what you actually hold.
AI Agents
Agents that act through permitted tools and stop at an approval gate.
Intelligent Automation
Document extraction, reconciliation and exception routing.
Workflow Automation
Orchestration across systems, not isolated task automation.
Supply Chain AI & Automation
Demand and inventory intelligence against real operational data.
Enterprise systems
Connect the systems that run your business.
An ERP that cannot see the warehouse, an OMS that cannot promise accurately, a TMS that finds out late — most operational pain is integration pain.
Systems of record
- ERP
- OMS
- WMS
- TMS
- MES
- Planning Systems
Connectivity
- EDI
- APIs
- Integration Middleware
- Trading Partner Integration
Foundation
- Data Platforms
- Cloud Platforms
- Analytics & BI
- Automation Platforms
Where a named ecosystem is relevant to your estate — SAP, Oracle, Microsoft Dynamics, NetSuite and others appear regularly — we work in it as integrators and engineers.
Industries
Where operational depth matters most
Where operational depth is most directly useful. The full list is on the Industries page.
Manufacturing
Production, quality and traceability tied to planning and procurement.
Automotive
Supplier coordination and sequencing across tiered networks.
Retail & E-Commerce
Order orchestration and inventory accuracy across channels.
Consumer Products / CPG
Demand planning, trade and replenishment through to distribution.
Food & Beverage
Lot and batch traceability, shelf life, and time-sensitive distribution.
Logistics & Transportation
Transportation planning and execution, with visibility across carriers.
Distribution & Wholesale
Warehouse execution and inventory visibility across multi-site networks.
Impact in action
What the work looks like.
Patterns from delivered work, anonymized to protect client confidentiality. Where detailed metrics have not been approved for publication, we describe the operational change and outcome without disclosing figures.
Healthcare
- Challenge
- High patient no-show rates were creating avoidable gaps in clinic schedules, while intake and reminder activities were being handled manually across multiple clinics.
- Approach
- Appointment reminders and intake handling were automated and connected to the existing scheduling process, extending coverage beyond normal staffed hours without requiring replacement of the underlying scheduling system.
- Outcome
- A measurable reduction in no-shows and less administrative load on clinic staff.
Financial Services
- Challenge
- Inbound leads were arriving faster than the team could consistently qualify and respond to them, creating delays during the period when prospects were most engaged.
- Approach
- Qualification and initial response were automated and routed into the existing CRM workflow so leads could be assessed and responded to within the first minutes of an enquiry.
- Outcome
- Materially improved lead-to-meeting conversion and consistent response times.
Logistics
- Challenge
- Invoice reconciliation, reporting and supplier coordination were consuming significant administrative capacity and creating repeated manual work across connected operational processes.
- Approach
- Reconciliation and reporting workflows were orchestrated across the relevant systems, while exceptions requiring judgment were routed to people for review.
- Outcome
- A significant reduction in routine administrative overhead.
Professional Services
- Challenge
- Routine tier-one support enquiries were queueing behind a small team, slowing response times and taking attention away from issues that genuinely required specialist involvement.
- Approach
- An assistant grounded in internal knowledge was introduced to resolve common enquiries, while questions requiring human judgment were escalated with the relevant context already captured.
- Outcome
- The majority of routine enquiries resolved without human involvement.
Manufacturing
- Challenge
- The organization needed to move from discovery to a working production capability quickly while continuing to operate alongside its existing ERP and scheduling environment.
- Approach
- A focused production solution was built and integrated with the incumbent ERP and scheduling systems instead of attempting a disruptive replacement of the existing technology estate.
- Outcome
- A production deployment delivered in weeks, integrated with systems already in use.
Automotive Retail
- Challenge
- Customer enquiries, scheduling requests and inventory questions were going unanswered outside normal business hours, creating gaps in responsiveness and potential lost opportunities.
- Approach
- Qualification, scheduling and inventory-response workflows were automated to provide continuous coverage while routing appropriate interactions into the existing operating process.
- Outcome
- Continuous coverage outside staffed hours without adding headcount.
About Stratylix
Where intelligence meets execution.
Stratylix LLC is an enterprise technology company. We design, build and integrate the software, data, cloud and automation that complex organizations run on — and we apply AI where it measurably changes how work gets done, not where it simply demos well.
Founded by an operator, not a consultant — eight years inside supply chain, operations and delivery before the first line of code was written for a client.
Siva Kumar Pedapalli · Founder
Build with us
Engineering · Data · Consulting
Information
Frequently asked questions
Send a brief through the contact form or by email. It is reviewed by the delivery team, not a sales desk, and the reply sets out a proposed approach, the questions that still need answering, and what a first phase would cover.
Timelines vary with scope and complexity, and the honest answer depends on what the systems involved already do. Rather than quote a duration before understanding the problem, Stratylix reviews the brief and comes back with a milestone schedule and the assumptions behind it.
Both. Stratylix works with early-stage startups building their first product and large organizations modernizing complex systems. All solutions are built to scale, so the same platform that starts small can grow to support thousands of users.
Solutions can be designed to support an organization's security, privacy and compliance requirements, including relevant controls associated with frameworks such as HIPAA, SOC 2, ISO 27001 and GDPR. Stratylix does not claim certifications it does not hold and does not provide legal or compliance advice. Intellectual property ownership and confidentiality terms are set out in the agreement for each engagement.
Get started
Turn complexity into intelligent operations.
Tell us what is not working — a planning cycle, an integration, a process that will not scale. We will tell you honestly whether we are the right people for it.
Talk to an Expert Explore Our Capabilities
- Email support@stratylix.com
- Phone +1 (502) 309-9417
- Hours Monday – Friday, 9:00 AM – 5:00 PM