Introducing Neo · April 2026

Meet Neo, the intelligence layer for industrial operations.

Neo handles the operational grind — the cross-system reasoning, the early warnings, the routine actions — so your team can focus on service and scale.

Get a demo See how it works
N Neo Working · 23 facilities
WMS
throughput
HRIS
attendance
TMS
shipments
analyzing
N
Neo
Recommended action
Add 12 workers to DFW-2 swing shift tonight.
SourceApex · SLA < 2h
Margin recovery+$4,800 / day
Actions today
1,285
▲ 12%
Watching
23 sites
live
Saved this wk
$48.2K
▲
Trusted by operators at
DoorDash
Holman Logistics
RYDER
the boring company
SMURFIT WESTROCK
Glanbia Nutritionals
JB HUNT
Warehouse Basics
KUBOTA
EXE LOGISTICS
Albertsons
NuGreen
Earth Fresh
RECOM
Universal Logistics
SugarCreek

This isn’t another dashboard. Neo reasons across HRIS, WMS, ERP and TMS — the systems your operators already live in — and quietly handles the messy work between them. So your teams can finally focus on customers, not click-paths.

From signal to action

How Neo turns a faint signal into a confirmed outcome.

Most ops problems get explained after the fact. Neo runs the full loop in real time — detect, diagnose, recommend, wait for the human, learn. One workflow, end to end.

01
Detect

Watch every facility, every metric, every minute.

Neo polls the systems you already run on and compares live ops to plan. When a site drifts, it surfaces — before standup.

  • Always-on telemetry. 23 facilities · 6 systems · 90s refresh.
  • Thresholds, not alerts. Learns each site's normal range; flags only what matters.
  • Quiet by default. Only the facility that needs you shows up.
WMSTMSHRISTime & attendanceDemand forecast
Network monitor · 23 facilities 14:08:42 CT
DFW-2 · throughput vs plan
10:00 12:00 14:00
Network status
ATL-1on plan
DFW-2+40% vs plan
CMH-3tight
PHX-1on plan
SLC-2on plan
RDU-1tight
02
Analyze

Find the actual root cause, not the symptom.

Neo asks the questions a senior GM would — what changed, where, is it staffing or throughput — and writes a one-paragraph diagnosis your team can act on.

  • Cross-system attribution. Joins demand, attendance and line speed to find the dominant driver.
  • Counterfactuals. "If attendance hit 88%, gap closes to 4%." Explains, not just describes.
  • 10-second summary. One paragraph. No charts to interpret.
Diagnosis · DFW-2 · Thursday swing analysis · 14:09:11
Question
What is driving the +40% throughput gap on swing shift?
Demand spike+18%
Attendance gap−12%
Line 2 SKU mix−8%
Other / noise−2%
Counterfactuals
If attendance hit 88%gap → 4%
If +12 workers addedgap → 2%
If demand stays flatgap → −6% (over)
Diagnosis: Swing shift is short 12 workers against a demand spike of +18%. Without intervention, margin lands at −$4,800/day through Friday.
03
Act

Recommend the specific move — not generic advice.

Not "consider adding workers." These twelve workers, from this partner, ranked for this facility — one click from execution.

  • Named shortlist. Ranked by reliability, prior performance on-site, and current availability.
  • Side-effects modeled. OT, partner SLAs, budget — surfaced before you decide.
  • One-click handoff. Approve once; Neo executes through your existing partner integrations.
Recommendation · queued for review 14:09:24
Recommended action
Add 12 workers to DFW-2 swing shift · tonight 18:00 – 02:00 CT.
Source: Apex Staffing · vetted for DFW-2
SLA < 2h
Ready: tonight 18:00 CT
3h 51m lead
OT exposure: 0 hrs
no triggers
Margin recovery: +$4,800/day
ROI 6.4x
Top-ranked shortlist12 of 47
JM
J. Morales
picker · 14 prior shifts
4.92
AT
A. Tran
packer · 9 prior shifts
4.88
RS
R. Singh
picker · 22 prior shifts
4.85
KP
K. Patel
forklift · 6 prior shifts
4.81
DC
D. Carter
packer · 11 prior shifts
4.77
MR
M. Reyes
picker · 8 prior shifts
4.74
04
Confirm

Keep your team in control of every action.

Neo doesn't act unilaterally on shift-level decisions. The right person gets the recommendation with full context, ready to approve, edit, or dismiss in seconds.

  • Routed to the right human. GMs for shift moves, regional ops for budget, leadership for policy.
  • Diff view, not paragraphs. Before/after on every metric Neo expects to move.
  • Audit trail by default. Who, when, what changed — logged on every action.
Approval · routed to Morgan Reed (Regional Ops, S-Central) awaiting
N
Neo recommendation #4821
14:09:24 CT
Adding 12 workers to DFW-2 swing shift will close the projected margin gap. Want me to lock in Apex for tonight?
Without action
Throughput vs plan−40%
Margin / day−$4,800
Customer ETAmissed
OT triggered9 hrs
With Neo's recommendation
Throughput vs plan−2%
Margin / day+$4,800
Customer ETAon time
OT triggered0 hrs
05
Optimize

Every confirmed action makes Neo sharper.

Neo records what was recommended, what was approved, and how the outcome compared to the prediction. Your facility's signature becomes the model.

  • Per-facility learning. DFW-2's Thursday playbook isn't ATL-1's. Neo learns the difference.
  • Rejection is signal. Dismissals get a reason, weighted into the next run.
  • Compounding ROI. Sharper diagnosis, faster recovery, every week.
Outcome · workflow #4821 closed 14:11:02 · 1m 38s end-to-end
Margin recovered
$4,800/day
Cost avoided this wk
$14.4K
Time to action
1m 38s↓ 4.2h vs manual
Confidence score
96%+3 vs last run
Learning loop · this week
Approved · Apex shortlist for DFW-2 swingapproval rate at this site → 94% (+6%)
Confirmed outcome · throughput closed to planprediction error: 1.4 pts · better than 2.8 last run
Pattern saved · "DFW-2 / Thu PM / +18% demand"will preempt next time — 6 hr earlier
Operator note logged · Morgan added rationale"prefer Apex over Vertex on pickers" · weighted +0.12
Industries we serve

Built for the messiest corners of industrial operations.

Neo translates the same operational signal into the right action for the workflow you actually run.

3PL

Run more pallets.
Resolve exceptions faster. Protect every SLA.

Maximize dock-door utilization, shave receiving cycle times, and keep your customers' SLAs intact — with Neo, the AI teammate for multi-client warehouses.

Learn more
Workers in a 3PL warehouse aisle
FOOD MANUFACTURING

Hit every batch.
Catch issues earlier. Protect every line.

Lift line yield, contain waste, and keep changeovers on schedule. Neo watches OEE, lot traceability and labor in real time — so quality and on-time-in-full both go up.

Learn more
Workers on a food manufacturing production line
PERSONAL CARE PRODUCTION

Hit every fill rate.
Hold every spec. Protect every brand.

Beauty, haircare and skincare lines run on tight tolerances and faster relaunches than anyone else in CPG. Neo watches fill volumes, label accuracy and changeover timing in real time — catching a slow capper or a mis-loaded label before the QA team finds it on a pallet, and rerouting labor when a hot SKU jumps in demand.

Learn more
Worker in lab coat inspecting amber bottles on a personal care production line
ECOMMERCE

Pick more orders.
Cut split shipments. Protect every promise.

From cart to carrier label, Neo orchestrates pick paths, inventory, packout and carrier choice in real time — so units-per-hour climbs and your delivery promise holds.

Learn more
Warehouse worker scanning a box for an ecommerce order
PRINT FULFILLMENT

Push more jobs.
Cut press downtime. Protect every deadline.

Neo schedules presses, finishing and shipping as one queue — spotting bottlenecks before makeready blows out and rerouting work to the line that hits the deadline.

Learn more
Print fulfillment workers packing finished print jobs
Adapts to your business needs and values

Neo follows your standard operating procedures.

Neo follows your standard operating procedures, your workflows and your ethos to fully complete complex tasks.

A new era of productivity gains for your operation

Throughput
Free your supervisors from grunt work. Neo balances labor across shifts, flags bottlenecks before they hit, and recommends the moves that protect output.
Cost per unit
Catch margin drift the moment it starts. Neo correlates cost-per-unit with shift logs, attendance and lane performance — so finance and ops see the same answer.
Profitability
Boost net contribution by lifting the productivity of ops, HR and back-office teams. Neo handles the routine workflows so you don't add headcount to add output.
Exceptions resolved
Speed up exception resolution by automating the document gathering, root-cause analysis, and follow-ups. Fewer late-night fire drills, faster recovery on every incident.
Service levels
Protect every SLA — for shippers, customers and internal stakeholders — with on-time scheduling, document filing, tracking and case resolution running in the background.
Retention & morale
Spot at-risk supervisors before they show up in payroll, and give your team back the work they were hired for. Neo absorbs the click-work; people focus on the floor.
Schedule a demo

See Neo run on your facilities.

Tell us about your operation — systems, sites, where the friction is. We’ll show you exactly where Neo would land and what it would change in the first 30 days.

“Neo went from pilot to running our peak season in eight weeks. It’s the first system that actually understands how our facilities run, instead of asking us to retrain on a dashboard.”

KA
Kira Alston
VP Operations, Meridian Logistics

“We were spending hours every week stitching HRIS, WMS and our ERP together to answer one margin question. Neo answers it in a sentence — and ten more we hadn’t thought to ask.”

RP
Rohan Patel
CFO, Northwind Distribution

“The retention model alone paid for the platform. We caught two attrition waves before they hit, and our floor leads got their evenings back.”

SM
Sara Moreno
CHRO, Granfield Foods
FAQ

Frequently asked questions

Neo is the intelligence layer that sits on top of your existing operational stack — HRIS, WMS, ERP, TMS, payroll, scheduling — and runs the day-to-day work your supervisors and analysts spend their time on. It reads the full operational picture in real time, reasons across systems, and executes complete workflows end to end. It’s not a copilot you have to prompt and it’s not a dashboard you have to read — it’s an operator that does the work.
Dashboards tell you what already happened. Copilots wait for you to ask. Neo doesn’t need either — it watches the live state of your facilities, predicts what’s about to break, and takes action against your standard operating procedures: locking capacity before a shift falls short, flagging an at-risk supervisor, opening a margin-watch case in the ERP, or re-routing a shipment. You see what it did and why; you only get pulled in for the calls it’s explicitly told to escalate.
The high-volume, high-repetition work that runs every facility: capacity planning and confirmations, fill-rate management, retention and at-risk worker coaching, margin and cost-per-unit monitoring, exception routing, supervisor handoffs, and SOP enforcement across sites. Most customers start with one or two of these workflows and expand once the team has built trust in the system.
Out of the box: the HRIS, WMS, ERP, TMS, payroll, scheduling and staffing systems most industrial operators run on (Workday, SAP, Oracle, Manhattan, Blue Yonder, ADP, UKG, and Traba’s own staffing platform, among others). Custom or homegrown integrations are typically a one-week build, and Neo can read from email, Slack, Teams, SMS and voice channels alongside your structured systems.
Multi-facility operators in logistics, manufacturing, distribution, and food & beverage — generally three or more sites and a meaningful contingent or hourly workforce. The pain Neo solves (slow time to fill, fragmented systems, supervisors stuck doing data entry, ops leadership flying blind across sites) shows up most acutely once a single ops team is responsible for more than they can hold in their head.
Operational gains start in the first 2 weeks once the first workflow is live, and most customers hit full payback inside a single quarter. The mechanism is simple: Neo absorbs the high-volume click-work (capacity confirmations, exception routing, retention outreach, margin cases) on day one, so the team unlocks capacity immediately rather than waiting for a multi-quarter rollout.
Across early Neo deployments we’re seeing time-to-fill drop from ~7 days to under 24 hours, fill rates move from 46% to 92%+, supervisor admin time fall by 60–70%, and unplanned overtime drop 20–30% in the first quarter. Annualized impact for a typical 8-facility operator runs $3M–$8M depending on labor mix and how aggressively SOPs are codified.
Pricing scales with facilities and active workflows, not with seats — adding a supervisor never costs more. We size the contract to a clear, written ROI target in the first conversation, and the first workflow ships in two weeks so you can validate the math against real production data before expanding.
Neo’s job is to take the click-work off your supervisors and ops leads, not to replace them. The point isn’t a smaller team — it’s a team that spends its time on the calls only humans should make: customer-facing decisions, root-cause work, and growth. Most customers redeploy the capacity Neo unlocks rather than removing roles.
The first production workflow goes live in 2 weeks. Full multi-facility rollout typically lands in 6–8 weeks. We deliberately don’t require a data-warehouse migration, an MDM project, or a 12-month transformation to start — Neo connects to your systems as they are.
Yes — that’s the core of how it works. You drop in your SOP documents, runbooks, and decision trees, and Neo converts them into structured workflow steps with explicit decision points and escalation rules. It then learns continuously from how your supervisors handle real cases, and anything outside its training is escalated rather than guessed at.
No. Neo meets your team where they already work — Slack, Teams, email, SMS, voice. Supervisors get pinged in the channel they already live in, with the context and the recommended action ready. The Neo console is for ops leadership and analysts who want to inspect, tune, or audit what Neo is doing.
A Traba forward-deployed engineer pairs with your ops and IT lead through the first deployment — connecting systems, codifying SOPs, and tuning the first workflow against live data. After that, your team owns day-to-day configuration through the Neo console; we stay on as a partner for new workflows and quarterly reviews.
SOC 2 Type II, single-tenant deployment options, role-based access controls, full audit logging on every action Neo takes, and customer-managed encryption keys. Your data is never used to train shared or cross-customer models — Neo’s reasoning runs on your data, scoped to your tenant, and stays there.
US, EU, or your own VPC. For customers with the heaviest compliance requirements we support on-prem deployment, and for everyone we honor data-residency and retention rules per region.
You decide. Every workflow has explicit autonomy boundaries: which actions Neo can take on its own (e.g. building a margin-watch case, posting a status update), which require a one-click human confirmation (e.g. locking capacity above a dollar threshold), and which always escalate. The boundaries live in your SOP config and are auditable per action.