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📦 Operations automation

Automate operations. Scale fast.

AUTOMAIT connects your ERP, inventory, logistics and comms tools so operations can focus on strategy instead of coordination.

The problem

Operations is coordination work that machines should be doing

Supply chain coordination, inventory, order fulfilment, logistics and vendor communication — all while trying to hold down costs and hit customer expectations.

Traditional operations tools handle basic tracking, but they fall short on eliminating repetitive tasks, predicting disruption or connecting workflows across departments.

Stock levels tracked in spreadsheets

Purchase orders raised by hand

Delays discovered by the customer first

Carrier selection done manually

Vendor updates lost in email

Dashboards that show metrics, not causes

Plan & Track → Execute & Monitor → Analyse & Optimise

How it works, stage by stage

1

Plan & Track

Operations planning is usually fragmented across tools, spreadsheets and email. AI organises incoming data, predicts demand and prioritises actions so nothing slips through the cracks.

Result

You see the bottleneck before it becomes a backorder.

Workflow examples

Demand forecastingSales & ERP trigger → AI (predict inventory needs) → inventory system (update stock levels) → Slack (notify procurement)
Supplier coordinationEmail trigger → AI (extract order details & deadlines) → ERP (create PO) → Slack (alert supplier team)
Order prioritisationDaily trigger → AI (score orders by urgency, profitability or SLA) → warehouse system (reorder picking queue)
2

Execute & Monitor

Repetitive operational tasks — shipment scheduling, stock transfers, delivery tracking — consume time and invite human error. AI automates execution and monitors performance in real time.

Result

Work executes on time without anyone pushing it.

Workflow examples

Shipment schedulingNew order trigger → AI (select optimal carrier & route) → logistics system (schedule pickup)
ReplenishmentStock level trigger → AI (calculate reorder quantity) → ERP (create purchase order)
Anomaly alertsSensor/ERP trigger → AI (detect anomalies or delays) → Slack/PagerDuty (notify operations manager)

Live example — Raw materials inventory management

Receive raw material data & issue requests via formUpdate stock levels in Google Sheets & SupabaseManage material issue approvals with email notificationsDetect low stock & send alerts via GmailEnsure data consistency across systems with error handling
3

Analyse & Optimise

Traditional dashboards show metrics but rarely insight. AI analyses operational performance, identifies bottlenecks and recommends improvements so teams can optimise continuously.

Result

Every incident makes the process a little better.

Workflow examples

Root cause analysisIncident closed → AI (analyse delay or error) → Confluence (publish report)
Process efficiencyWeekly trigger → AI (analyse workflow data) → project tool (suggest improvements)
Cost & resource optimisationERP + logistics data trigger → AI (recommend staffing or routing adjustments) → Slack (send actionable insight)

Ready to automate operations?

Book a 30-minute discovery call. We'll map your current workflow and show you the fastest quick win.