Supply Chain Loss Analysis — Four Domains, Best Practice vs. Most Companies
The Supply Chain Loss Analysis by ProvisionAi is, in short, a free self-assessment across four supply chain domains: Load Optimization, Network Flow, OTIF Performance, and System Sync. Most supply chains, as a result, lose 7-10% of total value to gaps in these four areas. The tool scores each domain and, therefore, builds a prioritized action plan ranked by the user's own answers, worst gap first — with no account, form, or sales call required.
Load Optimization
Best practice: 98% payload utilization. That means max fill, axle-legal loads, damage-free delivery, and a plan any dock crew can build without guesswork. It should also be repeatable, no matter who is on shift. Most companies, however, average only an 87% fill rate. That's 13 points of recoverable capacity left behind on every load. The cause is usually tribal-knowledge loading and no dock diagrams. As a result, roughly 12% of capacity is wasted per load. That compounds into one extra truck per 8 underfilled loads. The fix order is straightforward. First, audit item master accuracy for your top 80% of volume SKUs — this alone closes 30-40% of the fill gap, with no new technology. Second, add math-based, constraint-based load building for a further 5-10% payload improvement. Third, roll out dock-level loading diagrams, which typically drive a 40% gain in loader productivity. Finally, add dynamic substitution logic to maintain fill rate when shortages occur.
Network Flow
Best practice: a 30-day planning horizon. It levels load to carrier and dock capacity, commits predictable volume to core carriers, and re-plans continuously as reality shifts. Most companies, in contrast, plan on a reactive 2-3 day window. That short window drives 3-5% incremental spend from spot market dependency. It also keeps core carrier utilization under 70% and forces constant fire-drill re-planning. The fix comes in three steps. First, extend the planning window from roughly 3 days to 30 days. Second, level daily shipment volume — even a 50% reduction in peak-to-trough swings moves most lanes back within core carrier capacity. Third, consolidate the carrier base and commit to volume to earn better service and rates.
OTIF Performance
Best practice: applying all 8 OTIF levers at once. That includes leveling load, delaying commitment until the last responsible moment, and prioritizing fulfillment by deployment need rather than order date. It also means having a formal process to override the plan when reality diverges, reviewing OTIF jointly across functions, and fixing root causes instead of symptoms. Visibility should trigger automated action, not just a dashboard. And service should be protected without leaning on premium freight. Most companies, however, pull only 2-3 of these 8 levers. The other 5 sit unaddressed, quietly driving OTIF failure. In fact, most OTIF misses trace back to upstream planning decisions, not the carrier or the dock.
System Sync
Best practice: APS, ERP, WMS, and TMS sharing data continuously. Constraint-aware planning and proactive conflict detection close the loop, achieving 98% first tender acceptance. Most companies, instead, run these four systems as isolated silos, each planning against stale, overnight data. As a result, there's often a lag between when a plan breaks and when the planning team finds out. Manual spreadsheet orchestration then fills the gap that integrated systems should close automatically. The fix has three steps. First, map exactly where plans diverge from execution reality. Second, add an orchestration layer that reads constraints from all four systems at once. Third, close the feedback loop so execution data continuously reshapes the plan, instead of waiting for the next weekly cycle.
