New guideAI agents for supply-chain operations, in production under human supervision.
InfoSun
Enterprise Operations Services

Keep Warehouse Inventory Accuracy at 99%+ and the Floor Productive

Warehouse operations support is the managed, day-to-day execution of core warehouse tasks, inventory control, cycle counting, master data, and reporting, run by domain experts with AI agents under human supervision to keep inventory accurate and the floor productive.

Human-orchestrated AI Runs on your existing systems Outcomes, not headcount
Enterprise OperationsLiveCapability you ownPeople governAI assists and executes
Overview

Inaccurate inventory drives stockouts, overstock, and mis-picks that erode fill rate and OTIF. InfoSun runs warehouse operations support as managed operations: experts govern the process and AI agents flag and reconcile exceptions under supervision, so you reach and hold 99%+ warehouse inventory accuracy. You own the capability and the results, not a rented desk.

What we run in Warehouse Operations Support

Inventory control and reconciliation
Cycle counting programs and perpetual inventory
Warehouse inventory accuracy monitoring to 99%+
Labor, pick, and productivity analytics
Warehouse reporting and KPI dashboards
SKU and bin location master data management
WMS inventory management support
Operational support and exception handling
Services

Services in Warehouse Operations Support

Each service runs on the same human-governed, AI-native operating model. Explore any one for what it covers, the outcomes it drives, and how it is delivered.

Outcomes, not headcount

What the work delivers

99%+
inventory accuracy

Reach and hold accuracy that protects fill rate and OTIF through perpetual inventory and cycle counting.

20-40%
more productive

Lift picks per hour and throughput with labor and productivity analytics on the warehouse floor.

Fewer stockouts and overstock

Catch discrepancies daily so working capital is not tied up in the wrong stock.

Trusted master data

Clean SKU and bin data so picking, shipping, and reporting run right the first time.

Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.

How it works

One operating model, from first workflow to full scale

1
Agree the scope

Choose the processes together, and analyze them first

2
Establish

Stand up the team, governance, and KPIs

3
Find the AI fit

Where supervised AI suits the work, and where it does not

4
Augment

Agents draft and perform; your people approve

5
Improve together

Tune against live KPIs with your team

Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.

Ways to run it

Build alone, contract it out, or run it with InfoSun

Build in-house aloneContract it outRun it with InfoSun
Speed to valueSlow ramp: hire, tool, and train firstFast startFast start, on the systems you already run
Who owns the capabilityYou, eventuallyThe vendorYou: playbooks, models, and process transfer to you
Process knowledge and dataStays in-houseAccumulates with the vendorStays in your systems and your data
AI in the operationYou build it yourselfOn the vendor's roadmapAI-native from day one, human-supervised
Measured onEffort and milestonesActivity and SLAsOutcomes against your baseline

US business logistics costs reached $2.4 trillion, 8.7% of GDP, and rising operating costs are the top concern for 72% of 3PL providers.

CSCMP State of Logistics, 2024; industry surveys cited in InfoSun's 3PL market analysis. Market context, not InfoSun results.

How we prove it

You see the number on your own systems

No logos to borrow, no invented results. We prove value the only way that counts: on your baseline, on your dashboards.

  1. 1
    Baseline your numbers

    We measure your current cost, accuracy, and service together at the start, so every target is grounded in your reality.

  2. 2
    Agree the target first

    We set the outcome numbers with you before work starts. No moving goalposts.

  3. 3
    Run it on one site

    We prove the model on a single workflow or site before scaling, so risk stays small.

  4. 4
    Report on your dashboards

    You see the movement on your own metrics, monthly, not on ours.

No rip-and-replace

We run on the WMS, TMS, and ERP you already own.

Human in the loop

AI agents propose, your experts approve. Never a black box.

Start with an assessment

Get the baseline and business case before you commit.

Outcomes, not headcount

Measured on cost, accuracy, and decision speed, on your P&L.

Frequently asked questions

What is inventory accuracy and how is it calculated?+

Inventory accuracy measures how closely recorded stock matches what is physically on the shelf. It is calculated by dividing the number of accurate SKU or bin locations by the total counted, then multiplying by 100. A location counts as accurate only when quantity, item, and location all match the system record. Most 3PL and distribution operations target 99%+ inventory accuracy.

How do you improve warehouse inventory accuracy?+

You improve inventory accuracy with a disciplined cycle counting program, clean SKU and bin master data, and tight WMS transaction controls so discrepancies are caught daily instead of at year-end physical count. InfoSun runs this as managed operations: experts govern the process while AI agents flag exceptions and reconcile counts under supervision. Operations typically move to and hold 99%+ accuracy.

What is a good inventory accuracy percentage?+

For warehouse and distribution operations, 99% or higher is the accepted benchmark, and high-throughput fulfillment centers push toward 99.5%+. Below 95%, stockouts, overstock, and mis-picks rise sharply and erode fill rate and OTIF. The goal is not a one-time count but sustained accuracy through perpetual inventory and continuous cycle counting.

How does a WMS improve inventory accuracy?+

A warehouse management system enforces perpetual inventory by recording every receipt, put-away, move, pick, and adjustment in real time, so stock records update as work happens. Barcode and RFID scanning removes manual entry error, and system-directed cycle counting catches discrepancies before they compound. InfoSun configures and runs WMS inventory processes so the system's accuracy potential is realized on the floor.

What is master data management in supply chain?+

Master data management in supply chain is the discipline of keeping core reference data, such as SKU, item, bin location, and unit-of-measure records, accurate, complete, and consistent across systems. Clean master data is the foundation of inventory accuracy, correct picking, and reliable reporting. Errors in master data cascade into stock discrepancies, failed shipments, and bad KPIs.

What KPIs measure warehouse productivity?+

Core warehouse productivity metrics include picks per labor hour, units processed per hour, order cycle time, dock-to-stock time, and inventory accuracy. Fill rate, order accuracy, and space utilization round out the operational picture. InfoSun tracks these on live warehouse KPI dashboards so leaders can act on exceptions instead of waiting for month-end reports.

Written and reviewed by the InfoSun operations team. Last updated July 14, 2026.

Why rent capacity when you can own your capability?

In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.

30 minutes. Scoped to your operation. No obligation.

Request an Assessment