Product visual
founded
Fieldified
Field services · B2B SaaS product experience involving Web app, Mobile workflows, Payments, Automation.
- Field services
- B2B SaaS
Logistics & Supply Chain engineering
Logistics software designed around movement, evidence, and exceptions.
Automiq builds shipment, warehouse, fleet, inventory, supplier, field, customer visibility, and operational platforms that connect events and documents across partners without hiding uncertainty or human responsibility.
Fieldified and LendControl provide adjacent founder-led field and inventory operating experience. No carrier partnership, route-optimization result, customs authority, or logistics client metric is claimed.
Users & responsibility
Systems & data
Policies & exceptions
Logistics & Supply Chain
Useful software
Controlled AI
Operable handover
- Workflow discovery
- Domain-first
- Users, systems, exceptions, policies, and ownership shape scope
- Product decisions
- Evidence-led
- Claims and architecture are separated from assumptions
- AI and automation
- Controlled
- Consequential work keeps validation and human authority
- Handover objective
- Portable
- Agreed code, access, decisions, tests, and runbooks transfer
Relevant experience
The exact relationship and evidence boundary are visible.
Fieldified is founder-led field-service software and provides adjacent mobile, assignment, scheduling, evidence, and operational experience. It is not represented as a conventional logistics client engagement.
Operational problems
Where logistics & supply chain systems usually break down.
The difficult work sits between systems, teams, policies, and exceptions—not in an isolated interface.
Status is spread across organizations
ERP, warehouse, transport, carrier, supplier, customer, spreadsheet, email, and device data disagree on what happened.
Happy paths hide operational reality
Delays, shortages, damages, missed scans, address changes, customs issues, partials, and handoffs require explicit ownership.
Field evidence arrives late or incomplete
Teams need identity, time, location, media, signature, document, and offline context they can trust and correct.
Optimization can ignore constraints
AI suggestions must respect capacity, safety, contracts, service levels, geography, working hours, and human dispatch authority.
Build, buy, integrate, or modernize
Choose the right logistics & supply chain engineering route.
The decision depends on workflow differentiation, current systems, regional obligations, data ownership, and the team that will operate the result.
| Option | Best when | Main tradeoff |
|---|---|---|
| Configure an existing logistics & supply chain platform | A supported product already covers most of shipment and customer visibility and the business can adapt its process. | Faster adoption, but customization, data portability, provider roadmap, and regional availability stay constrained by the vendor. |
| Integrate current systems | The main problem is fragmented records or handoffs across erp, wms, tms, and order systems and carriers, suppliers, and partner networks. | Preserves current tools, but identity, source ownership, retries, reconciliation, and support boundaries still require engineering. |
| Build custom logistics & supply chain software | The workflow, policy, user experience, or competitive model differs materially from available products—such as warehouse and inventory operations. | Creates control and fit, but requires product ownership, validation, maintenance, and a responsible investment case. |
| Modernize in bounded stages | A live system cannot be replaced safely in one release and the business needs measurable migration gates. | Reduces transition risk, but temporary coexistence and data reconciliation add cost and operational complexity. |
Software products & platforms
What Automiq can build for logistics & supply chain.
Scope can be a focused operational capability, an extension of existing systems, or a complete product with mobile, web, data, and administration.
Shipment and customer visibility
Orders, milestones, tracking, ETA context, documents, notifications, exceptions, claims, and customer portals.
Warehouse and inventory operations
Receiving, putaway, picking, packing, transfers, counts, reservations, dispatch, returns, and discrepancy management.
Fleet, route, and field workflows
Assignments, schedules, stops, proof, inspections, incidents, offline work, communication, and supervisor control.
Supplier and partner platforms
Onboarding, orders, capacity, documents, performance, disputes, approvals, and data exchange across organizations.
Production AI use cases
Use AI where interpretation helps and responsibility remains clear.
Every AI use case requires representative data, measurable behavior, restricted access, a failure path, and an accountable operator.
Document and exception classification
Extract shipment or supplier documents, detect missing or conflicting information, and route review with source evidence.
ETA and risk decision support
Combine reliable events and constraints to prioritize likely delays, while exposing confidence and preserving dispatcher judgment.
Operations copilots
Retrieve shipment, inventory, customer, contract, and procedure context; summarize incidents; and draft approved communication.
Forecast and planning assistance
Support capacity, inventory, staffing, or route scenarios with transparent assumptions, backtesting, overrides, and monitoring.
Workflow automation
Connect deterministic operations before adding unnecessary intelligence.
Automation coordinates approved states, rules, people, and systems while making retries, exceptions, and reconciliation visible.
Order-to-shipment orchestration
Validate readiness, allocate inventory, create work, book supported carriers, collect documents, and update downstream state.
Event ingestion and exception routing
Normalize partner events, deduplicate, detect missing milestones, open cases, assign owners, notify, and reconcile.
Proof and claims workflows
Collect delivery or condition evidence, validate completeness, route disputes, record decisions, and update financial or customer systems.
Inventory reconciliation
Compare physical, warehouse, ERP, marketplace, and in-transit state; investigate differences; and apply approved corrections.
Integration & data landscape
Source ownership matters more than connector count.
Interfaces are designed around identity, data contracts, update authority, time, retries, reconciliation, audit, and support ownership.
ERP, WMS, TMS, and order systems
Material entities and statuses need one mapping, source ownership, versioning, and transactional update rules.
Carriers, suppliers, and partner networks
APIs, EDI, files, portals, and email require validation, correlation, retries, monitoring, and manual fallback.
Mobile, devices, and telemetry
Scans, GPS, sensors, images, signatures, and offline events need identity, timestamps, quality, privacy, and sync rules.
Compliance & human control
Technical safeguards implement approved responsibilities; they do not invent them.
Automiq works against customer requirements and qualified professional guidance. Software delivery is not regulatory, legal, medical, financial, or safety certification.
Traceable events and evidence
Preserve event source, identity, time, location, sequence, raw evidence where justified, transformations, and corrections.
Role and partner isolation
Limit operational, customer, supplier, carrier, and administrator access by organization, shipment, facility, task, and purpose.
Safe optimization and dispatch
Constraints and prohibited actions remain deterministic; people approve safety, cost, customer, and exception decisions.
Recovery and continuity
Design offline modes, replay, idempotency, backlogs, manual operation, reconciliation, alerts, and tested disaster recovery.
Regional delivery context
Logistics & Supply Chain terminology and obligations change by market.
Discovery records the customer jurisdiction and the language used by local operators before architecture or automation rules are finalized.
Jurisdiction and data region
Confirm residency, retention, access, transfer, audit, and professional requirements relevant to shipment traceability and role-based access.
Local operating language
Map regional names for roles, records, identifiers, dates, addresses, currencies, taxes, units, and exception states to one explicit domain model.
International delivery model
Agree working-hour overlap, customer decision owners, language, provider availability, procurement, release windows, support escalation, and handover location.
Example architecture
A representative logistics & supply chain system buyers can reason about.
This is an explanatory pattern, not a universal reference architecture or a compliance promise.
- Stage 01
Orders & operational events
- ERP, portal, partner, mobile, scan, or device input
- Identity, organization, location, time, and purpose
- Order, inventory, shipment, task, document, or exception
- Stage 02
Operational state
- Normalized entities and milestone history
- Deterministic workflow and constraint engine
- Bounded AI for extraction, prediction, or assistance
- Stage 03
Execution network
- WMS, TMS, ERP, carrier, supplier, customer, and device interfaces
- Queues, files, EDI, APIs, and webhooks
- Reconciliation, documents, and reporting
- Stage 04
Control & operations
- Access, traceability, evidence, and audit
- Dispatch approval, exception queues, and manual fallback
- Monitoring, replay, recovery, and handover
Technologies
Tools selected for the operating environment—not an industry template.
Final choices depend on existing systems, data, team skills, regions, risk, procurement, supported interfaces, and handover needs.
web mobile
React
Custom React application development
Explore Reactweb mobile
React Native
Production React Native application development
Explore React Nativeweb mobile
Node.js
Node.js backend and platform development
Explore Node.jsai
Python
Python software, data, and AI engineering
Explore Pythoncloud data
PostgreSQL
PostgreSQL architecture, migration, and application development
Explore PostgreSQLcloud data
AWS
AWS software and production AI development
Explore AWSai
n8n
Production n8n automation and AI agent workflows
Explore n8nEngagement sequence
Move from domain evidence to a controlled production release.
Automiq does not publish one universal industry timeline. Discovery confirms the first bounded milestone, dependencies, validation, and customer responsibilities.
- Stage 01
Map the physical and digital flow
Define orders, goods, locations, actors, milestones, evidence, constraints, systems, failures, and the first operational outcome.
- Stage 02
Design shared state and exchange
Establish identifiers, source ownership, event contracts, permissions, offline behavior, integrations, reconciliation, and exceptions.
- Stage 03
Build against real disruptions
Test duplicates, delayed events, missed scans, partials, damage, offline work, carrier failure, conflicting inventory, and corrections.
- Stage 04
Release by lane, facility, or workflow
Use controlled rollout, shadow comparison, operator training, backlog monitoring, support, and documented recovery and handover.
Investment context
What changes the size of an industry engineering engagement.
A credible estimate follows product, workflow, data, integration, assurance, and release discovery—not a generic industry package.
Network and workflow breadth
Facilities, modes, markets, partners, inventory, fleet, field, claims, and customer visibility determine scope.
Integration and data quality
ERP, WMS, TMS, carriers, EDI, devices, identifiers, history, and missing events create implementation effort.
Reliability and field operations
Offline behavior, devices, monitoring, support, infrastructure, data transfer, incident response, and continuing vendor costs remain.
Third-party platforms, providers, model usage, hosting, professional review, certification, devices, app stores, data services, and support remain separate unless the engagement agreement explicitly includes them.
Questions, answered
Logistics & Supply Chain software and AI questions, answered
Direct answers about scope, integrations, AI boundaries, professional responsibility, ownership, and delivery.
Can Automiq build shipment tracking or warehouse software?
Yes. Scope can include orders, inventory, milestones, scans, tasks, documents, customer visibility, exceptions, field mobile workflows, administration, analytics, and supported integrations.
Can AI optimize routes or predict delays?
AI can support planning and risk prioritization when data and evaluation are adequate. Safety, legal, contractual, capacity, and dispatch constraints should remain explicit, with qualified human authority.
Can the system work with weak connectivity?
Yes, when offline state, queued actions, identity, conflict resolution, time and location evidence, retry, sync visibility, and recovery are designed deliberately.
Does Automiq provide legal, regulatory, medical, financial, or safety certification?
No. Automiq engineers software controls against requirements supplied or approved by the customer and its qualified advisers. The customer remains responsible for legal interpretation, regulated decisions, professional review, and formal certification.
Who owns the software and operating documentation?
Ownership is finalized in the engagement agreement. The intended custom-build model transfers the agreed source code, infrastructure access, designs, tests, architecture decisions, documentation, and runbooks without requiring a hidden proprietary Automiq platform.
Talk to the engineering team
Discuss a logistics & supply chain software or AI requirement.
Bring the workflow, users, existing systems, data, policies, constraints, and desired outcome. We will help define a useful first production milestone and the responsibilities needed around it.