Alkhai · Live ops trace
14:32BANKLoan approvals taking 5 days → reduced to 2.1 days·14:30OPS22% of orders delayed → reduced to 6%·14:28FIN$3.2M stuck in rework → unlocked·14:26FLOW64% of cycle time stuck in one step·14:24OPSRework happening 3× more than expected·14:22FLOWApprovals delayed after 4 PM daily·14:20FLOWTop 2 steps causing 80% of delays·14:18CASERegional bank → +18% throughput in 6 weeks·14:16CASELogistics firm → cut delays by 31%·14:14CASEInsurance ops → $1.2M annual savings identified·14:12MFGChangeover dwell 42m → 31m · 5-shift rolling avg·14:10ITSMMTTR on P1 tickets 38m → 22m·14:08BANKOnboarding cycle time 14d → 5d · zero audit findings·14:06FLOW47% of cases following a non-standard path·14:04OPSProcess conforming to SOP only 31% of the time·14:02WMSWave dispatch missing SLA dropped 12% → 3.4%·14:00CASEMid-market manufacturer → +19% line throughput in 8 weeks·13:58CASE3PL → expedited shipments down 31% · no new headcount·13:56ALERTRe-queue rate spiking on loan-approval workflow·13:54CASEEnterprise IT → MTTR cut 34% on P1 tickets in 60 days·13:52FINWorking capital tied in inventory · $4.7M → $4.1M·13:50OPSHandoff Ops → Compliance averaging 1.4 days·14:32BANKLoan approvals taking 5 days → reduced to 2.1 days·14:30OPS22% of orders delayed → reduced to 6%·14:28FIN$3.2M stuck in rework → unlocked·14:26FLOW64% of cycle time stuck in one step·14:24OPSRework happening 3× more than expected·14:22FLOWApprovals delayed after 4 PM daily·14:20FLOWTop 2 steps causing 80% of delays·14:18CASERegional bank → +18% throughput in 6 weeks·14:16CASELogistics firm → cut delays by 31%·14:14CASEInsurance ops → $1.2M annual savings identified·14:12MFGChangeover dwell 42m → 31m · 5-shift rolling avg·14:10ITSMMTTR on P1 tickets 38m → 22m·14:08BANKOnboarding cycle time 14d → 5d · zero audit findings·14:06FLOW47% of cases following a non-standard path·14:04OPSProcess conforming to SOP only 31% of the time·14:02WMSWave dispatch missing SLA dropped 12% → 3.4%·14:00CASEMid-market manufacturer → +19% line throughput in 8 weeks·13:58CASE3PL → expedited shipments down 31% · no new headcount·13:56ALERTRe-queue rate spiking on loan-approval workflow·13:54CASEEnterprise IT → MTTR cut 34% on P1 tickets in 60 days·13:52FINWorking capital tied in inventory · $4.7M → $4.1M·13:50OPSHandoff Ops → Compliance averaging 1.4 days·
Alkhai
Industries / Logistics & Supply Chain

Every handoff is a chance to lose hours, units, or trust.

Supply chains are chains of handoffs, between systems, partners, sites, and shifts. Each handoff is small, but the compound effect across the network is where most lost time and money lives.

Logistics & Supply Chain

/ 01

Overview

Logistics teams instinctively know where their pain is, typically at a node level. The carrier was late. The warehouse missed a wave. The supplier didn't ship on time. What's almost always missing is a network-level view of how those local issues compound, where they originate, and which ones are actually worth fixing first.

Alkhai stitches together event data from your WMS, TMS, ERP, and carrier feeds to reconstruct shipments and order flows end-to-end. We surface the network-level constraints, not just the local slips, and rank them by total cost-of-delay across customers, products, and lanes.

The result: a clear, defendable view of which fixes will move the network the most, presented in language an operations VP can use in a steering meeting tomorrow.

Hidden in your operation

Where the inefficiencies are probably hiding right now.

Most leaders we speak to assume their operation is "running fine" because nothing is on fire. These are the patterns we see in nearly every logistics & supply chain engagement, quietly costing real money.

Often missed

Late shipments with no clear root cause

Late shipment reports usually attribute delay to the last touch. The real root cause is often two or three handoffs upstream.

Typical cost: $2-8 / late order

Often missed

'Busy' warehouses that ship slowly

High labor utilization can mask poor task sequencing. We measure dwell time per order, not picks per hour.

Typical cost: 10-22% throughput loss

Often missed

Inventory that's everywhere except where it's needed

Network-level inventory imbalance is invisible in node-level reporting. We show it at the SKU-by-DC level.

Typical cost: 8-14% of working capital

/ 02

Where flow breaks

The specific patterns in logistics & supply chain that quietly drain throughput, margin, and customer satisfaction.

Shipment delay root-cause analysis

We attribute every late shipment to the actual originating step, not the last touch. The pattern of root causes typically points to a small number of fixable upstream issues.

Warehouse throughput bottleneck identification

Pick-pack-ship dwell time, broken down by zone, wave, and SKU velocity. We separate true labor constraints from sequencing problems.

Supply chain handoff mapping

End-to-end visibility into where work, units, and information transfer between teams, systems, and partners, showing where each handoff is dropping value.

Inventory flow inefficiency detection

Where inventory is sitting, how long, and what it's costing, by SKU, location, and lane. We expose the slow-movers and silent overstocks.

Constraint ranking across logistics networks

We score every network-level constraint on impact, fix complexity, and downstream effect, so you can sequence fixes for compounding lift.

/ 03

Key use cases

The questions Alkhai is most often brought in to answer for logistics & supply chain leaders.

Reducing late-shipment rate without adding carrier capacity

Improving warehouse pick-pack-ship throughput on a constrained DC

Quantifying the cost of a single weak supplier in a multi-tier network

Optimizing wave-planning to match true downstream demand

Finding the inventory positions that are quietly tying up working capital

Preparing a network-level investment case for new DCs or carriers

/ 04

Constraints

The structural realities that any logistics & supply chain solution has to respect, not pretend away.

Carrier SLA variability and capacity constraints

Warehouse footprint, equipment, and labor availability

Demand variability and seasonality

Lead-time variability across suppliers

System fragmentation between WMS, TMS, ERP, and OMS

Customer-level commit terms and service-level obligations

/ 05

Outcomes

What logistics & supply chain leadership teams typically see after an Alkhai engagement, measured and delivered.

↓ 18-32%

Reduction in late shipment rate

↑ 12-22%

Throughput lift in constrained DCs

↓ 8-14%

Working capital tied up in inventory

↓ 25%

Fewer expedited shipments after constraint fixes

Network-level

Visibility, not just node-level

60d

From data connection to ranked findings

The Alkhai Diagnostic

Get a quantified read on where your business is leaking time.

The core analysis and delivery is completed within 2 to 4 weeks of data connection. We surface the biggest hidden bottlenecks, identify which segment is driving each one, and deliver a ranked action plan with quantified ROI. After delivery, we can support execution of specific constraints where needed. The plan is complete and ready to act on.

No PII required for scopingNDA-first engagementOutcome-tied pricing available