Item inventory updated (OnHand)
Triggers when item on-hand stock quantity changes in SAP Business One due to physical inventory movements (Goods Receipt, Delivery Note, Goods Issue, Goods Return). Does not trigger on Sales Orders or Purchase Orders.
appse ai audits your equipment cards in SAP Business One every day, spots assets approaching their maintenance window, raises the Service Call automatically, assigns the nearest available technician, and sends them an AI-written briefing in Microsoft Teams — so preventive maintenance happens before things break.
Apps used in this template
About this template
Preventive maintenance only works if someone remembers to schedule it — and when it slips, you get emergency breakdowns, missed SLAs, and voided warranties. This template makes it automatic. Each day, appse ai audits active service records and equipment cards in SAP Business One, flags every asset approaching its preventative-maintenance threshold, raises a formal Service Call, assigns the nearest available technician, and pushes an AI-generated briefing to Microsoft Teams — with a confirmation email to the customer.
Key benefits
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Inside the flow
appse ai runs this workflow end to end on a daily schedule — from an equipment-card audit to a dispatched, briefed technician. Here is exactly what happens.
On a daily schedule, appse ai audits upcoming maintenance windows across your entire deployment in SAP Business One — no manual oversight.
It splits into parallel tracks to pull active service records and individual equipment cards from SAP Business One at once, passing both through validity filters.
The two streams are merged and filtered to a unique, focused payload — removing duplicates and isolating exactly which machines need attention.
A decision filter evaluates whether any assets are approaching their critical preventative-maintenance threshold (typically the next 7 to 14 days).
For every flagged machine, appse ai logs a formal Service Call in the SAP Business One Service module, mapping customer codes, asset locations, and maintenance intervals.
It retrieves a live directory of field personnel and runs an availability check to match the call with the nearest unbooked technician in that territory.
The work-order details are passed to AI, which generates a contextual brief and a precise maintenance summary for the assigned technician.
appse ai pushes the AI briefing to Microsoft Teams to notify the technician on their mobile device, and triggers a confirmation email to the customer.
More than moving data between apps — here is the measurable impact this automation delivers for your team.
01
Pre-empt machinery failures before they happen, cutting emergency-repair costs that typically run 3–5x higher than scheduled maintenance.
02
Contractual preventative-maintenance timelines are met systematically, protecting against costly SLA breach penalties.
03
No maintenance windows are missed, keeping expensive equipment warranties valid and compliant.
04
Live schedules are cross-referenced to dispatch the most logical, nearest available technician for each job.
05
AI-written summaries with full asset context are pushed to Microsoft Teams, so techs arrive prepared.
06
Equipment statuses, service histories, and customer contracts stay anchored in SAP Business One — no disjointed tracking spreadsheets.
01
Pre-empt machinery failures before they happen, cutting emergency-repair costs that typically run 3–5x higher than scheduled maintenance.
02
Contractual preventative-maintenance timelines are met systematically, protecting against costly SLA breach penalties.
03
No maintenance windows are missed, keeping expensive equipment warranties valid and compliant.
04
Live schedules are cross-referenced to dispatch the most logical, nearest available technician for each job.
05
AI-written summaries with full asset context are pushed to Microsoft Teams, so techs arrive prepared.
06
Equipment statuses, service histories, and customer contracts stay anchored in SAP Business One — no disjointed tracking spreadsheets.
Questions & answers
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