CMMS for Logistics
Keep hubs, sortation and handling equipment reliable.
Sortation conveyors, scanners and dock equipment fail in small, unremarkable ways until they don't — a slow belt, a scanner that misreads, a leveller that sticks. AssetAI gives logistics and distribution hubs a structured way to track this equipment, log breakdowns from the floor and decide, with data rather than instinct, which line to fix and which to replace.
How a breakdown gets reported and closed
A contract worker or dock staffer scanning a stopped conveyor's QR code doesn't need an account — a name and the company scan PIN is enough to raise a breakdown report, which suits hub environments with high staff turnover and short shifts. Each report is numbered sequentially (BD-000001 onward) and captures:
- Severity — normal, high, or emergency
- A machine-stopped flag
- Failure mode and free-text description
- Up to 5 photos of the fault
Emergency-severity reports skip the approval queue entirely and raise a work order the moment they're submitted, so a jammed sortation line doesn't sit waiting for someone to authorise it. Service-call coverage — in warranty, under AMC, expired, or none — is auto-stamped on the work order from a fixed precedence, with the vendor pre-filled from the asset's AMC vendor or supplier, saving the person closing the ticket a lookup.
One rule is enforced in code, not just policy: breakdown and corrective work orders cannot be closed without a recorded failure cause and remedy. Over months of scanner jams and motor failures across sortation lines, this is what turns a pile of tickets into a real failure Pareto rather than a guess.
Deciding whether to repair or replace
Hub equipment ages unevenly — one conveyor motor gets rebuilt every quarter while its neighbour runs untouched for years. AssetAI computes an RRR verdict (Repair, Review, or Replace) per asset from cumulative work-order cost against purchase cost, the 12-month failure trend, downtime cost, and age, giving maintenance planners a defensible answer when a sortation motor's repair bills start climbing. Downtime cost per asset is also ranked as a Pareto of the top 8, so if three sortation lines and a dock leveller are eating most of the budget, that's visible without building a spreadsheet.
This works because work orders attach parts, outside services and labour to the same record — a motor repair carries its true cost, not just a labour hour logged against a line item. Combined with PM schedules that mix time-based checks (belt and roller inspection) with usage-based triggers (conveyor run-hours, scanner cycle counts fed by manual entry, QR scan, WhatsApp or API readings), and condition-based PdM that opens a work order when a monitored parameter like motor vibration breaches a threshold, hubs get ahead of failures instead of just recording them.
What this isn't: a fleet telematics or route-optimisation tool, a WMS/TMS integration, or a dock-throughput dashboard. Trucks and last-mile vehicles can be logged as generic assets, but dispatch, SLA tracking and shipment-level analytics sit outside the product. If you're evaluating what a CMMS is meant to cover versus what belongs in a TMS, our glossary explainer is a useful starting point, alongside the full feature list and other industries AssetAI supports. To see it against your own hub's assets, book a 30-minute demo.
Multi-hub logistics operations in India run on a mix of owned equipment and outsourced labour, across sites that were often set up at different times with different naming conventions. Getting a single, standardised view of every conveyor, scanner and forklift across hubs is as much a data-structuring problem as a maintenance one, and it's where a lot of CMMS rollouts in this sector quietly stall.
Structuring assets and locations across hubs
Every sortation conveyor, scanner, forklift, dock leveller and handling unit is entered as a company-unique coded asset with its category, type, OEM, make, model, location and owner — not a generic "conveyor #3" line item that means something different at every hub. The location hierarchy maps hub → zone → sortation-line → dock onto the standard plant/area/line/functional-location structure, so a regional ops head can look at any hub in the network and see the same layout logic repeated, rather than relearning a new naming scheme each time. This matters more in logistics than in a single-site factory: a network of hubs only becomes comparable once the underlying asset and location data is consistent, and that consistency is what later makes downtime-cost ranking and RRR verdicts meaningful across sites rather than just within one.
Getting this right early avoids a common mistake: importing equipment lists as flat spreadsheets without an owner or a functional location attached, which makes PM scheduling and breakdown reporting harder to enforce later. A clean registry is the foundation everything else in a What is a CMMS is built on.
Scheduling maintenance around meter readings, not a live feed
Sortation lines and scanners run on cycles and hours, not just calendar dates, so PM schedules combine time-based tasks — belt and roller inspection — with usage-based ones tied to conveyor run-hours or scanner cycle counts, fed in by manual entry, QR scan, WhatsApp, or API. Where a specific failure mode is worth watching closely, such as motor vibration on a heavily-loaded sortation line, a condition-based schedule compares the logged reading against an alarm threshold and raises a PdM work order automatically when it's breached — without requiring a continuous IoT sensor feed, since readings are logged periodically rather than streamed.
- Time-based PM: belt tension, roller wear, leveller seals — checked on a calendar cycle
- Usage-based PM: conveyor run-hours, scanner cycle counts — checked against meter thresholds
- Condition-based PdM: vibration or other monitored parameters — checked against an alarm limit
Every work order, whichever schedule triggers it, carries its parts, outside services and labour on the same record, so the true cost of keeping a conveyor motor running is visible rather than split across systems — and it's this same cost data that feeds the top-8 downtime-cost Pareto used to decide which line gets attention first. This is a practical, India-relevant discipline: with high equipment utilisation and thin maintenance headcount at most hubs, prioritising by actual cost rather than gut feel is closer to the intent of TPM than most manual tracking allows. AssetAI applies the same registry, scheduling and Pareto mechanics used across manufacturing to logistics and distribution hubs, without adding fleet telematics or shipment tracking it doesn't do. To see how this fits alongside other sectors, browse industries, check where a plant sits against ISO standards, or book a demo to walk through a hub's asset list directly.
CMMS for Logistics FAQs
How do I set up maintenance schedules for conveyors that run different hours per shift depending on seasonal demand?
AssetAI lets you create usage-based schedules tied to conveyor run-hours rather than calendar days alone. When your sortation line runs at different intensities, the system tracks actual meter readings—entered manually, via QR scan, WhatsApp, or API from your PLC—and triggers preventive maintenance work orders only when the conveyor hits the threshold you set. This means belt and roller inspections happen when the equipment has genuinely worked the prescribed hours, not on an arbitrary date that may leave you over- or under-maintained.
Our dock staff scan equipment to report breakdowns, but they're contract labour with high turnover. How do I avoid friction?
Dock and floor staff don't need to log in or install an app—they scan a QR code on the asset, type a problem name, and enter your company scan PIN. That's it. The system records the stopped conveyor, scanner, or dock leveller as a work order without authentication overhead. This friction-free reporting method works across rotating contract teams because it requires no training on software access, only familiarity with a barcode and PIN.
How do I see which pieces of equipment are costing us the most downtime across three hubs so I can fix priorities?
AssetAI ranks downtime cost per asset in a Pareto chart (top 8) across your entire location hierarchy. The system maps your three hubs, zones, sortation lines, and docks into one standardized structure, then calculates true downtime by attaching parts, outside services, and labour costs to each work order. This gives you visibility into which conveyor, scanner, or handling equipment is burning the most time and money, so you can direct maintenance resources where they matter most.
We use condition monitoring on conveyor motors but don't know how to automate the handoff to maintenance when vibration spikes.
AssetAI's condition-based PdM watches a monitored parameter—like motor vibration—against an alarm threshold you define. When vibration breaches that threshold, the system automatically generates a work order without manual intervention, triggering your maintenance team to act before failure occurs. This bridges the gap between sensor data and action, turning a raw alert into an actionable task linked to the asset's full service history and spare parts inventory, as described in our use-cases for predictive maintenance in high-speed sorting environments.
What happens if I buy new scanner equipment or add a second dock leveller—how much rework is that?
Every asset—sortation conveyor, scanner, forklift, dock leveller, or custom handling equipment—is added to a registry coded with category, type, OEM, make, model, location, and owner. Adding a new asset means registering it once into your location hierarchy (hub → zone → line → dock) so it inherits the same standardized structure and PM schedules as existing equipment. No rework of schedules; the new asset picks up the template rules and meter-based triggers that already apply to similar gear in that functional location.
How do I know whether I'm getting the uptime I should expect from my sortation line equipment compared to industry norms?
CMMS tools like AssetAI record all downtime, maintenance costs, and asset performance data in one place, enabling you to calculate Overall Equipment Effectiveness and benchmark your line's uptime against your own baselines over time. While industry-wide norms depend on your specific equipment mix, OEM specifications, and operational intensity, the glossary/oee explains how to measure the metrics that matter. Many Indian logistics operators follow TPM frameworks to drive continuous improvement; a CMMS is the data backbone that makes TPM measurable and sustainable.
Our logistics hub runs 24/7 across multiple docks and sortation lines. If conveyor downtime causes a backlog, how do I track which maintenance actions actually prevented that ripple effect?
Log downtime reasons and completed work orders in AssetAI with timestamps. Cross-reference against shipping delays in your TMS to identify which equipment failures triggered cascades. Over time, you'll spot high-impact assets worth proactive condition monitoring or faster spare parts stocking. This data also justifies maintenance budget requests to operations.