MACIEK.ieOperational Intelligence
Now onboarding new operations teams|Built by operators

Modern tools for
warehouse operations.

Maciek.ie turns the daily reality of warehouse and logistics teams into clear, decision-grade software. Designed by people who've actually run the floor.

  • KPI dashboards
  • Reporting automation
  • AI-assisted optimisation
  • Operations-led
Get in touchView projectsExplore demo operation
Built with real warehouse and logistics experience — practical systems, not buzzwords.
operations · live
Throughput
3,482
+12.4%
On-time
98.2%
+1.1%
Pick rate
184/hr
+8.7%
AI tasks
1,204
auto
Daily operations index+6.2%
Live operations command centre

See your operation think.

A premium operational layer — real-time KPIs, zone-level intelligence and AI recommendations, designed for warehouse and logistics teams.

Warehouse health
0%
+2.1%vs. yesterday
Live throughput
0.0%
+12.4%vs. yesterday
On-time
0.0%
+1.1%vs. yesterday
Labour forecast
0%
tomorrowvs. yesterday
Warehouse zones
Live
AI · Optimise

Congestion risk in 22 min · shift 2 ops

Operations copilot
thinking
> why did throughput drop today?
  • Scanning shift KPIs · 14 sources
  • Detected: Zone B labour imbalance
  • Detected: Scanner 04 downtime 18m
  • Correlating with SKU congestion …
  • Generating recommendation
Tomorrow · forecast
Risk · low
Volume
+0%
Confidence
0%
Operators
0
Explore demo operationInteractive · no signup required
About

Operations expertise meets modern AI engineering.

We lead warehouse operations by day and engineer AI-driven optimisation systems at the same depth — combining floor-level intuition with analytics, automation and software.

  • Warehouse & logistics management
  • AI automation & internal copilots
  • KPI dashboards & operational analytics
  • Process engineering & digital transformation

Operations-first

Real time on the floor — picking, shifts, KPIs and the mess in between.

Visibility by default

Live numbers your supervisors can actually act on, not month-end PDFs.

Practical outcomes

Throughput, labour cost, quality and on-time — measured, not promised.

Currently

Building AI copilots for warehouse teams.

Available for new engagements
What we build

Operational visibility, made simple.

A focused set of services for warehouse and logistics teams — combining hands-on operations experience with modern software and AI.

KPI & operations dashboards

Live throughput, on-time, quality and cost views that supervisors and managers actually use.

Labour visibility & workforce analytics

Productivity per shift, per zone, per person — fair, transparent and easy to act on.

Warehouse optimisation

Slotting, picking strategy and flow improvements based on your real movement data.

Reporting automation

Replace manual spreadsheets and end-of-shift reports with reliable, automated outputs.

AI-assisted optimisation

Copilots and assistants that help planners, team leaders and supervisors decide faster.

Logistics & flow engineering

Inbound, storage, outbound and last-mile flows mapped, measured and tightened.

Operational data integration

Pulling WMS, TMS, ERP and shop-floor data into one usable operational picture.

Internal tools & WMS extensions

Bespoke tooling that fills the gaps your core system was never going to cover.

Industries we support

Built for operations that move.

Built for teams running real physical operations — from single-site warehouses to distributed fulfilment networks.

Warehousing

Challenge
Fragmented KPIs across shifts, zones and teams.
Opportunity
Unified throughput, labour and quality visibility in one place.
Intelligence
AI-assisted slotting and exception detection.

Logistics

Challenge
Disconnected flows between inbound, storage and last-mile.
Opportunity
End-to-end operational view across the movement chain.
Intelligence
Predictive bottleneck and delay signalling.

E-commerce operations

Challenge
Peak volatility and unpredictable picking demand.
Opportunity
Dynamic labour planning and live order-flow dashboards.
Intelligence
Forecast-driven shift and capacity recommendations.

Distribution centres

Challenge
Manual reporting and slow management visibility.
Opportunity
Automated daily, weekly and management-grade reporting.
Intelligence
Anomaly detection across throughput and quality KPIs.

Fulfilment operations

Challenge
Inconsistent productivity between teams and sites.
Opportunity
Fair, transparent productivity and quality benchmarking.
Intelligence
AI copilots for supervisors and team leaders.

Supply chain

Challenge
WMS, TMS and ERP data living in separate silos.
Opportunity
One operational data layer powering every decision.
Intelligence
Cross-system insights and root-cause analysis.

Operational teams

Challenge
Spreadsheets, end-of-shift handovers and lost context.
Opportunity
Lightweight apps for checklists, handovers and tasks.
Intelligence
Assistants that surface what changed and what matters.

Growing businesses

Challenge
Operations scaling faster than tooling and processes.
Opportunity
Modern foundations that grow with volume and complexity.
Intelligence
Automation that compounds as the operation matures.
Challenges we solve

The friction points we engineer out.

The recurring frustrations we hear from operations leaders — and the gaps the platform is built to close.

Poor KPI visibility
Manual reporting
Operational bottlenecks
Workforce planning gaps
Labour inefficiencies
Slow reporting cycles
Lack of operational visibility
Disconnected systems
Demo operation

Step into a working environment.

Switch between operational views to feel how supervisors, planners and leaders work with the platform.

demo workspace
live preview
Throughput
3,482
+12.4% vs yesterday
On-time
98.2%
+1.1%
Cost per order
€1.84
-4.2%
Hourly throughput · today+12.4%
Demo data only — visualises a realistic deployment.
Operational maturity assessment

Score your operation in 60 seconds.

Five quick questions. A clear maturity score and a recommended next step.

Question 1 of 50%

How are your daily KPIs produced today?

The Method

A disciplined path from operational pain to working systems.

Six stages that turn warehouse and logistics challenges into measurable, durable improvement.

01

Discover

Understand the operation, the people and the real pain points.

02

Analyse

Map data, processes and constraints to find root cause and leverage.

03

Design

Shape the solution — dashboards, automations, AI — fit to the floor.

04

Build

Engineer reliable software with operational discipline and modern tooling.

05

Optimise

Tune against live operations until the numbers actually move.

06

Support

Stay engaged — monitor, evolve and grow the system over time.

Operational architecture

From raw warehouse signals to operational decisions.

A continuous data spine — every layer designed for visibility, automation and intelligent action.

  • Warehouse systems
    WMS · ERP · scanners · sensors
  • Operational data
    Unified · cleaned · contextualised
  • Analytics layer
    KPIs · reports · live dashboards
  • Automation engine
    Workflows · alerts · scheduling
  • AI layer
    Forecasts · copilots · optimisation
  • Decision intelligence
    Recommendations · operational action
Case studies

Operational systems engineered for measurable impact.

Selected engagements across warehouse operations, analytics and AI automation — each tied to a real business problem and a measurable outcome.

Live · Throughput
Last 24h
Units / hr
1,284
+12.4%
On-time
98.6%
+1.8%
Errors
0.21%
-32%
Operations Analytics

Warehouse KPI Intelligence Platform

Challenge
Operations leaders relied on overnight spreadsheets, with no live view of throughput, on-time or error rates across shifts.
Solution
Built a unified KPI platform pulling from WMS, labour and ERP into a single warehouse model, surfaced through an executive command-centre dashboard.
+18%
throughput
-32%
report cycle
<2s
refresh latency
PythonSQLPowerBIREST APIsWMS
Ops Copilot
“Why did pick rate drop on Aisle 4 today?”
Pick rate ↓14% after 14:20. Cause: 2 scanners offline, SKU-882 reslotted.→ Generate incident report
“Forecast tomorrow’s labour need.”
14 SOPs · 3 systems indexed
AI Automation

AI Operational Reporting System

Challenge
Shift managers spent 6+ hours per week chasing data across SOPs, incident logs and KPI exports to assemble narrative reports.
Solution
Deployed an internal LLM copilot trained on SOPs, incident history and live operational data with structured tool-calling.
1.4k
queries / week
-86%
report time
LangChainOpenAIPythonPostgreSQL
Pick density · Zone B8 aisles
Low+14% pick rate after re-slotHigh
Process Engineering

Warehouse Performance Optimisation

Challenge
Hot SKUs were stored in low-velocity zones, causing long pick paths and bottlenecks during peak.
Solution
Built an algorithmic re-slotting engine and density heatmap integrated with the WMS to continuously optimise pick paths.
+14%
pick rate
-22%
travel time
PythonWMS APIOR-Tools
Inbound · paperless flow
1
Scan
●
2
Validate
●
3
Sort
●
4
Stage
●
5
Dispatch
●
SLA 4m 12s · 0 paper trails
Digital Transformation

Paperless Inbound Workflow

Challenge
Goods-in relied on paper checklists and manual key-entry, generating mismatches and slow dock turn-around.
Solution
Replaced the entire inbound process with a mobile-first scan, validate, sort, stage and dispatch flow, fully audit-tracked.
-72%
errors
+40%
speed
100%
audit trail
ReactNodePostgreSQLZebra SDK
Labour forecast · 14 days−9% labour cost
Hours
3,820
Headcount
142
Coverage
99.1%
Workforce Analytics

Workforce Analytics Dashboard

Challenge
Shift planning was reactive — over-staffed on quiet days, under-staffed during peaks, with no visibility into skill mix.
Solution
Forecasting model balancing volume, hours and skill mix per shift, surfaced in a planner-friendly analytics dashboard.
-9%
labour cost
99.1%
coverage
PythonProphetSQLReact
Logistics portal · today
INB-2841Receiving12 min
OUT-9920Loading4 min
INB-2842QA hold—
OUT-9921Dispatched1h ago
Internal Systems

Internal Logistics Management Portal

Challenge
Inbound, QA and outbound teams worked from disjointed tools, with no single live status view of the day’s movements.
Solution
Built a single internal portal unifying receiving, QA holds, loading and dispatch with role-based views and live SLA timers.
1 view
across teams
-45%
status calls
ReactTypeScriptPostgresAuth
Operational track record

Eight years of operations. Engineered into systems.

A timeline of operational, analytics and AI milestones — built inside live warehouses, not in a sandbox.

Pillar 01
8+ yrs
warehouse operations
Pillar 02
40+
dashboards in production
Pillar 03
95+
AI / automation flows shipped
Pillar 04
ISO-aware
audit & compliance ready
  1. 2018 · Operations

    Warehouse operations leadership

    Stepped into floor-level operations management, owning throughput, accuracy and shift performance across multi-shift teams.

  2. 2020 · Analytics

    First live KPI dashboard rollout

    Replaced overnight spreadsheets with a real-time KPI dashboard wired into WMS and labour systems — adopted across all shifts.

  3. 2021 · Digital Transformation

    Paperless inbound transformation

    Re-engineered goods-in end-to-end into a mobile, scan-driven workflow with full audit traceability.

  4. 2022 · Workforce Analytics

    Workforce forecasting model

    Deployed a labour forecasting engine balancing volume, hours and skill mix — cutting labour cost while improving SLA coverage.

  5. 2024 · AI Engineering

    AI operational copilot

    Shipped an internal LLM copilot trained on SOPs, incident logs and KPI streams — now answering 1.4k operator queries per week.

  6. 2025 · Consultancy

    Enterprise consultancy practice

    Now engaging with operations leaders to design AI, analytics and automation systems that compound month-over-month.

AI opportunity assessment

Discover AI opportunities inside your operation.

A structured review of where automation, analytics and AI can create real operational leverage — without disrupting how your team works today.

What you get
  • Operational diagnostic across data, process and tooling
  • Prioritised list of AI and automation opportunities
  • Estimated impact on hours, cost and visibility
  • Phased roadmap aligned to your operational reality
Request an assessment

Reporting automation

Replace recurring spreadsheet work with reliable, scheduled outputs.

Workforce optimisation

Smarter shift, zone and task allocation based on real signals.

Operational analytics

Live KPIs across throughput, quality, cost and labour.

Planning improvements

Demand-aware planning that adapts to volume and complexity.

KPI visibility

One operational picture for supervisors, managers and leadership.

Forecasting opportunities

Short-horizon forecasts for volume, labour and exceptions.

Business impact calculator

Estimate what visibility and automation could be worth.

A directional model based on real warehouse and logistics engagements. Tune the inputs to your operation.

Your operation

Rough numbers are fine — this is directional.

40 people
5500
10 reports
150
2 hrs
18
Hours saved per year
499h
from 960h of recurring reporting
Reporting reduction
52%
recurring reports replaced by automation
Automation opportunities
6+
workflows identified across your reporting set
Visibility improvement
59%
more KPIs surfaced in real time
Operational efficiency gain
+16%
typical range across pilot deployments

Estimates are directional and based on benchmarks from warehouse and logistics operations. A formal assessment refines these against your real data.

Products in development

Software for the next generation of operations.

A product suite built alongside our consultancy work — software designed by operators, engineered for modern logistics teams.

In development

KPI Intelligence

Real-time operational KPIs with AI-driven anomaly detection.

In development

Workforce Analytics

Fair, transparent labour productivity across shifts, zones and teams.

In development

Operational Insights

A single operational picture across WMS, TMS and ERP signals.

In development

Dashboard Systems

Composable dashboards built for supervisors and operations leaders.

In development

AI Optimisation

Copilots and models that help planners decide faster and better.

A consultancy and a software company in one — designed in the field, engineered for the floor.

The approach

Designed for modern logistics teams.

Not a generic agency. Not a theory-only advisor. An operations-experienced team building practical software for warehouses and logistics — and staying involved long after the first release.

Built by operations people

We've run warehouses, managed shifts and chased KPIs. Every solution is shaped by floor-level reality, not theory from a slide deck.

AI + real warehouse experience

We combine modern AI engineering with deep logistics know-how — so automations actually fit how your operation moves.

Operational-first approach

We measure throughput, cost, quality and labour. Technology serves the operation — never the other way around.

Modern, ambitious, focused

A young engineering team that thinks in systems, ships fast, and treats every project as a long-term partnership.

Long-term partnership

We don't disappear after go-live.

Operations evolve. Our engagement does too. We treat every delivered system as a living part of your operation — monitored, supported and continuously improved.

Active support on every engagement

Ongoing support

Direct access for questions, fixes and operational tweaks.

Continuous optimisation

Quarterly reviews to refine KPIs, models and automations.

Operational stability

Monitoring, alerts and rapid response for production systems.

Team enablement

Training, documentation and standard work so your team owns it.

The team

A young, ambitious team with operational DNA.

Warehouse operations, logistics engineering, AI and software blended into a single team — calm, technical, and obsessed with making real operations run better.

  • Warehouse & logistics operators
  • AI and automation engineers
  • Analytics & dashboard specialists
  • Process and systems thinkers
Floor experience
Operations-led
Engineering depth
AI + software
Delivery style
Phased & flexible
Support model
Long-term partner
Technology stack

The tools behind the systems.

A pragmatic, modern stack — chosen for reliability, integration depth and speed of iteration.

PythonReactTypeScriptSupabasePostgreSQLSQLPlotly / DashFastAPINode.jsAI AutomationOpenAILangChainAPI IntegrationsPower BITableauAirflowWarehouse Systems (WMS)ERP IntegrationsData Engineeringn8n / ZapierDockerAWS

Bring real visibility to your operation.

Tell us about your warehouse, your data and what's slowing your team down. We'll come back with a practical first step — not a sales deck.

Get in touch See projects
Contact

Start a conversation.

Describe your operation, your data and what's limiting visibility. Replies come directly — no sales funnel, no automation.

LinkedIn
Maciej Gierszewski

All conversations are confidential.