When a line stops or a vendor slips, the plan and the POs keep up.
OpsNest is production and procurement intelligence for plants that make in-house and through co-packers or job workers. It splits demand across vendors, re-plans the shift when the floor changes, and drafts the POs, with a named person approving every write.
1Reads
- Weekly MPS (Excel or ERP) and the promotion calendar
- Vendor and co-packer capacity, MOQ, rates and truck types
- Stock on hand, open POs and incoming QC results
2Decides
OpsNest
- Which line or vendor makes what, in what order, on which truck
- Which jobs move when a line stops
- Which material gaps need a PO now
3Produces
- POs created after approval and posted to your ERP through a configured connector
- Co-packer portal for acknowledgement and dispatch
- Approved re-plans saved as the live schedule
↺ Learns Audit trail of every proposal, approver and piece of evidence back to 1 · Reads
Thursday of promo week, and Filler 2 stops
It is Thursday of a promotion week. Filler Line 2 stops for six hours with a seal-jaw fault. The promo pack has to reach distributors by Saturday's dispatch cut-off, and nobody can yet say how many cases are now at risk.
The planner rebuilds the week in a spreadsheet. Procurement phones three co-packers to find a free line, checks each MOQ and how many trucks it will take, and raises POs that need two signatures. By the time there is a plan, Friday's first shift has started.
Nobody has noticed that the same seal jaw stopped the line twice last week, or that the cartons for the moved volume were never checked. Both surface next week, as new emergencies.
Why the usual fixes fall short
- ERP planning runs overnight on fixed lead times. It does not re-plan a day's sequence when one line stops, and it does not weigh truck fill, MOQ and changeovers together.
- Spreadsheets split demand by habit. Each vendor's MOQ, free capacity and freight are checked by hand, one call at a time.
- Machine dashboards see the stop and purchasing tools see the PO. Neither connects the two, so a line stop reaches the buyer hours late.
Every disruption keeps costing a day of calls, part-filled trucks and late cases, and the same faults keep stopping the same lines.
- ServicePromo cases miss the dispatch cut-off, and distributors open the promotion short of stock in the days when sell-through is highest.
- Freight & spendRushed splits ship part-filled trucks, and MOQs force buys larger than the gap.
- Working capitalMaterial gaps are found at the line, so POs go out late, expedited, or twice.
- Management timePlanners and buyers spend the day on calls and spreadsheets, and the cause of the stop waits for another day.
What OpsNest is, and how it fits
- What it is
- Production and procurement planning for plants that make in-house and through co-packers, converters or job workers.
- Who uses it
- Plant heads, production planners, procurement heads and buyers, quality and maintenance leads, and your vendors through their own portal.
- What it does
- Turns the weekly production plan into a vendor split and POs, re-plans the shift when a line stops, drafts POs for material gaps, tracks every PO through acknowledgement, dispatch, GRN and close, and traces losses, defects and breakdowns to their cause.
- How it fits your systems
- Sits between your ERP and the floor. It reads the MPS, stock and POs from SAP, Oracle or Excel, and machine events from your lines, historian or MES. Connectors are configured per deployment, start read-only, and write back only after approval.
- What is different
- One solver weighs MOQ, truck fill, changeovers and capacity together. Every number comes from the solver or a rule, and the AI only explains it. Agents draft the fix; a named person approves it. Industry packs speak your plant's language: FEFO and case fill, deckle and grade changes, line balance and shade.
OpsNest in action
Walk through a filler-line stop in promo week, from the machine event to approved co-packer POs and what actually shipped.
A simulated scenario on representative data. You choose the option and give the approval; the numbers follow your choices.
From data to decision to outcome
What goes in, what OpsNest works out, what gets decided, what happens next, and how the result comes back.
- Weekly MPS (Excel or ERP) and the promotion calendar
- Vendor and co-packer capacity, MOQ, rates and truck types
- Stock on hand, open POs and incoming QC results
- Machine events, downtime and energy readings (CSV, webhook, OPC-UA or MQTT)
- PO, delivery and price history, and vendor messages
- One CP-SAT model for allocation, MOQ, truck loading and changeover
- Self-healing re-plan with a freeze horizon and a what-if diff
- OEE loss tree and anomaly checks with evidence
- Root-cause chains over the operations graph, with citations
- Vendor health, delay risk and machine remaining-life estimates
- Which line or vendor makes what, in what order, on which truck
- Which jobs move when a line stops
- Which material gaps need a PO now
- Which approver signs each PO, by value
- Which maintenance work goes into the next planned stop
- POs created after approval and posted to your ERP through a configured connector
- Co-packer portal for acknowledgement and dispatch
- Approved re-plans saved as the live schedule
- Maintenance work orders drafted into your CMMS for approval
- Only approved Approval Inbox items execute, each step audited
- Audit trail of every proposal, approver and piece of evidence
- Truck fill and on-time acknowledgement per allocation run
- Vendor timings into the health score
- Loss hours by cause, week on week
- CAPA effectiveness checks and failure history per asset
Capabilities, organized by the work they do
16 modules in 5 groups. Open a module for its inputs, outputs, users and an example.
Plan the week and split the work
Turn the weekly production plan into a sequence and a vendor split that respects every hard limit, and re-plan in seconds when the floor changes.
Demand & MPS intakeTurns the weekly master production schedule into a versioned demand plan.
- Challenge
- The MPS lives in an Excel file that changes every week, and nobody can say which version a PO was raised against.
- Inputs
- Weekly MPS (Excel upload or ERP), promotion calendar.
- Outputs
- A versioned demand plan, with promo weeks shaped from the calendar.
- Used by
- Production planners.
- Value
- Every allocation, schedule and PO traces back to one plan version.
- Works with
- Excel upload, or a read from your ERP through a connector configured per deployment.
- In action · illustrative
- At 08:30 on Monday the planner uploads MPS v14. Its 153 demand lines become plan version 14, and the promo build for the 500 ml pack is tagged to its campaign.
Allocation & sequencing: one model, four puzzlesSolves allocation, MOQ, truck loading and changeover sequencing together in one CP-SAT model, across your own lines, co-packers and job workers.
- Challenge
- Which order goes to which line, in what sequence, on which truck, within each MOQ: four puzzles solved by hand and one after another, so the weekly split takes days and is feasible at best.
- Inputs
- Demand plan, vendor capacity and MOQ, truck types with cube and weight limits, rates, changeover matrix, priorities.
- Outputs
- An allocation run with the split per line and vendor, a sequence that cuts setup time, cube- and weight-aware truck loads, a written justification per line and the saving against the manual split. Approving the run creates the POs.
- Used by
- Procurement head, production planners.
- Value
- Fuller trucks, fewer MOQ overbuys, less time lost to changeovers, and a split anyone can audit line by line.
- Works with
- Google OR-Tools CP-SAT. In an internal benchmark on test data, 51 SKUs and 153 demand lines solved to proven optimal in 3.6 seconds.
- In action · illustrative
- A 153-line week is split across six co-packers with every truck between 80% and 100% full, every MOQ met and every changeover counted. When one co-packer loses a line on Wednesday, the week is re-solved in minutes and only the affected lines move.
Self-healing schedule & what-ifRe-sequences the shift and reassigns orders the moment a machine or a material slips, and shows what changes before anyone commits.
- Challenge
- Schedules go stale the moment the floor changes. A breakdown means a scramble while orders stall and someone re-plans the shift by hand.
- Inputs
- Jobs, routings, machines, shift calendars, downtime events, the freeze horizon.
- Outputs
- A recovery plan listing moved jobs, late jobs and orders reassigned to the line that can deliver, inside the freeze horizon. One approval saves it as the live schedule.
- Used by
- Production planners, plant head, shift supervisors.
- Value
- A disruption gets a recovery plan before the phone calls start, and nothing changes on the floor until someone signs.
- Works with
- The Scheduler agent drafts the re-plan as soon as a stop is logged and sends it to the plant head's Approval Inbox.
- In action · illustrative
- Line 2 is down for six hours. The re-plan pulls the promo pack onto Line 1, moves four jobs, and shows one non-promo job slipping to Monday. The plant head approves it in one click.
Buy, chase and receive
From a material gap to a closed GRN: POs raised when the schedule needs them, approved by value, followed through the vendor's own portal, and every vendor scored on the record.
On-demand production: material gaps & POsWatches material against the schedule and raises a PO proposal against the right contract when production stock will fall short.
- Challenge
- Teams chase POs by phone and email, production and supply drift out of step, and lines wait on material.
- Inputs
- Production schedule, stock on hand, open POs, vendor lead times and contracts, incoming QC results.
- Outputs
- Draft POs with the shortfall calculation in the Approval Inbox; vendor lead times mapped into the schedule; a quality gate that holds production release when incoming material fails QC.
- Used by
- Procurement executives and heads, production planners, stores.
- Value
- Gaps found while there is still time to buy on normal terms, and no run starts on material that failed inspection.
- Works with
- Reorder thresholds, contracts and approvers are settings. Approval writes the PO.
- In action · illustrative
- The nightly check finds 2,000 cartons short for Friday's run and drafts a PO with the shortfall calculation attached. When a label lot fails incoming QC, the run that needs it is held and the planner sees why.
PO lifecycle & vendor portalTracks every PO from draft to close, and gives vendors and co-packers their own masked portal.
- Challenge
- POs are chased by phone, and nobody knows which vendor has acknowledged, dispatched or delivered.
- Inputs
- POs, vendor logins, dispatch documents, QC results and GRNs.
- Outputs
- PO states from draft through approval, ERP, acknowledgement, production, dispatch, delivery, QC and GRN to closed; PO PDFs; acknowledgement and dispatch records.
- Used by
- Procurement, vendors and co-packers, stores.
- Value
- Every PO has an owner, a status and a timestamp, so chasing turns into handling exceptions.
- Works with
- Value tiers default to ₹2 L and ₹10 L, with delegation and 24-hour escalation. Your customers' names are masked from vendors.
- In action · illustrative
- A ₹6.4 L PO routes to the procurement head under the ₹2–10 L tier. The co-packer acknowledges it in the portal and later marks dispatch with the truck number.
Vendor intelligenceScores every vendor on delivery, quality, communication and price stability, reads vendor messages into PO milestones, and watches input costs.
- Challenge
- Vendor updates live in chat threads, vendor health is a gut feel, and input-cost spikes hit the P&L by surprise.
- Inputs
- PO, acknowledgement, delivery, QC and price history; vendor messages by WhatsApp or email; commodity price feeds.
- Outputs
- Vendor health scores with weights you set, messages turned into structured milestones on the PO, delay-risk scores on open POs, and early warnings when input costs move.
- Used by
- Procurement head, buyers.
- Value
- Vendor conversations start from the record, and cost movements reach buying before they reach the P&L.
- Works with
- WhatsApp and email channels are configured per deployment. Messages are read through the Owllys AI gateway, with personal data masked. Delay-risk models learn from your own PO history.
- In action · illustrative
- A co-packer messages "resin late, dispatch Thursday". The PO's dispatch milestone moves to Thursday, its delay-risk score rises, and the buyer sees it before the planner asks. With three late dispatches in its last five POs, its health score drops, and the next review starts from those records.
See the floor and fix the cause
Machine events become OEE, a ranked loss tree and a shift handover; questions get cited answers; defects and breakdowns are traced to their source and closed with evidence.
Connected floor commandTurns machine events into OEE, energy use and cost per unit by machine, line and plant, flags anomalies, and writes the shift handover.
- Challenge
- Problems surface the morning after, stitched together from manual reports once the downtime and defects have already happened.
- Inputs
- Machine events, downtime and energy readings by OPC-UA, MQTT, historian, webhook or CSV; shift calendars; standard costs.
- Outputs
- OEE and a loss tree by cause, energy and cost per unit, anomaly findings with their evidence or an abstain, and a handover summary with open issues flagged at every shift change.
- Used by
- Plant head, maintenance, production, shift supervisors.
- Value
- Losses ranked by cause, so effort goes where the hours are lost, and every shift starts from the same facts.
- Works with
- Machine links are configured per deployment. Plants without connected machines start from the downtime logs they already export.
- In action · illustrative
- Three seal-jaw stops on Filler 2 in ten days are flagged as unusual against the line's own normal, with the three events attached. At the 14:00 handover the incoming supervisor reads: L2 down six hours on SJ-04, four jobs moved, one maintenance ticket open.
Ops copilot & root causeAnswers floor questions in plain language by chaining shift logs, machine events, batch records and vendor history, with every step cited.
- Challenge
- Answering a floor question means digging through reports for half a day, and root cause depends on who is in the room.
- Inputs
- Operations graph (events, jobs, batches, POs, vendors, QC) and a question.
- Outputs
- A cited cause chain or answer, or an abstain when the evidence is thin.
- Used by
- Plant and operations managers, quality leads.
- Value
- Answers before the shift meeting starts, with causes everyone can check against the record.
- Works with
- The chain is built by rules over the graph. A language model only narrates it, through the Owllys AI gateway configured for your deployment.
- In action · illustrative
- "Why did Line 2 miss Thursday?" returns three seal-jaw stops with one fault code, each within 30 minutes of a shift change, with every event linked.
Quality & CAPARuns QC findings, vendor disputes and corrective actions on the same operations graph as production, so every defect has a source and an owner.
- Challenge
- Quality issues are logged in one system, fixed in another and forgotten in a third.
- Inputs
- Inspection results, vision-QC flags, vendor disputes, photos.
- Outputs
- Defects traced to line, batch, material and vendor; CAPA records with owner, due date, evidence and an effectiveness check; a vision-QC hook where each pack plugs in its own inspection model.
- Used by
- Quality team, procurement, production.
- Value
- The same defect stops coming back, and every quality issue has an owner, evidence and a close date.
- Works with
- Shared by every industry pack. The semiconductor pack adds a full 8D workflow.
- In action · illustrative
- A short-fill finding on a co-packer batch opens a CAPA linked to the PO, the batch and the inspection photos. Thirty days later the effectiveness check confirms the fill weights held.
Machine health & predictive maintenanceLearns each asset's failure modes from its own history, estimates remaining useful life, and drafts the maintenance work order for approval.
- Challenge
- Machines fail and everyone scrambles. Maintenance runs on the calendar, not a forecast.
- Inputs
- Machine age, stop and failure history, and health signals such as vibration, temperature and current where the machine provides them.
- Outputs
- The likely failure mode, a remaining-life band with its confidence, and a draft PM work order planned into the next stop.
- Used by
- Maintenance head, plant head.
- Value
- Planned stops instead of surprises, measured by unplanned downtime hours.
- Works with
- Work orders are written to your CMMS or SAP PM only after the maintenance head approves.
- In action · illustrative
- Seal jaws on Filler 2 approach their usual failure interval, so a PM work order is drafted for Sunday's planned stop.
Agents that draft, people who approve
Agents watch the floor, the POs and the machines and draft the fix. Connectors read first, every write waits in one inbox for the person who owns it, and every recommendation carries its evidence.
Ops agentsA roster of agents (Scheduler, Risk Monitor, Maintenance) that watch the schedule, vendor risk and machine health, and draft the fix for one-click approval.
- Challenge
- Dashboards show the problem and then wait for a person. By the time someone reacts, the shift is lost.
- Inputs
- Schedule changes, machine events, PO status, vendor signals, machine health.
- Outputs
- Drafted re-plans, supplier-delay warnings and maintenance work orders, each with its evidence, sent to the Approval Inbox.
- Used by
- Planners, procurement, maintenance.
- Value
- Proposals arrive with their evidence before anyone has to ask, and every action is auditable.
- Works with
- Agents act with approval. How much each decision type may do alone is set on the autonomy dial, one decision type at a time.
- In action · illustrative
- Line 2 stops. The Scheduler agent drafts the re-plan, and the Risk Monitor flags that the carton vendor for the moved volume is running late, before either reaches the floor.
Approval Inbox & read-first controlRead-first connectors, suggest-first agents and one inbox where every write waits for a named person, with an evidence score on every recommendation.
- Challenge
- Letting software touch the plant's systems is a risk no plant head takes on faith, and approvals happen over email and WhatsApp with no record of the evidence.
- Inputs
- Proposals from the solver, the gap check and the agents, each with its evidence and sources.
- Outputs
- Draft, pending, approved or rejected, executed or failed: every step audited. Role rules per item, autonomy settings per decision type and a kill switch per company.
- Used by
- Approvers, operations leads, admins.
- Value
- Nothing writes to a system without an approval on record and its evidence, so speed on the floor never costs control.
- Works with
- Connectors read SAP, MES and historian data read-only to start. Solvers compute every number; the AI narrates it.
- In action · illustrative
- A draft PO, a re-plan and a vendor dispute sit in one queue. The procurement head approves the PO, and only that item executes.
Industry packs
One core with your industry on top, switched on per company. Each pack brings its own constraints, vocabulary and screens. Semiconductor fabs and OSATs run on the same core through our sister brand Semi³.
FMCG & consumer goods packCo-packer planning for consumer goods: mix, fill and pack batches, shelf life, promotions, packaging BOMs and label rules.
- Challenge
- FMCG plants juggle batches, co-packers, shelf life and promotions in separate spreadsheets.
- Inputs
- Recipes and batches, the co-packer network and its volume ceilings, promo calendar, packaging BOM, label data.
- Outputs
- Mix-fill-pack batch routing, co-packer scheduling, shelf-life-safe (FEFO) allocation that steers near-expiry stock away, promo-shaped demand, FSSAI and Legal Metrology label checks before print, artwork handoff, and the loop from demand to allocation, PO, GRN, QC and vendor grading.
- Used by
- Planners, procurement, quality, regulatory.
- Value
- Fresher stock, fuller co-packers and fewer label errors, planned in one place.
- Works with
- The reference pack. It switches on per company and leaves the core unchanged.
- In action · illustrative
- A promo build is split across two co-packers so every batch reaches the distributor with enough shelf life left, and the new pack's net-quantity declaration is checked before the cartons are printed.
Paper & board packMill planning around grade changes, deckle and trim, and the steam and power the mill can supply, with a floor view and a copilot for what-ifs.
- Challenge
- Mill schedules ignore steam and power limits, and trim loss is accepted as normal.
- Inputs
- Orders by grade, GSM and width; machine and winder limits; utility, energy and crew constraints; furnish and vendor supply.
- Outputs
- A utility-aware mill schedule with a grade-change matrix, a CP-SAT deckle and trim plan, paper OEE and downtime tree, cited root cause, furnish and vendor sync, and what-if.
- Used by
- Mill planners, production head.
- Value
- Works toward lower trim and grade-change loss, measured per reel against a per-order baseline.
- Works with
- A read-first overlay on SAP PP, QM and MM and the plant historian, configured per deployment. The only write, an approved order sequence, goes back through a governed connector.
- In action · illustrative
- Orders at 120 and 150 GSM are sequenced to avoid an extra grade swing, and the trim plan combines widths to fill the deckle.
Apparel packSewing-line balance, cutting and marker efficiency, fabric-defect and shade control, and job-work visibility down every subcontractor tier.
- Challenge
- Line balance is a supervisor's guess, fabric waste is invisible and job-work disappears into sub-tiers.
- Inputs
- Operation bulletins and SAMs, operator skills, marker plans, consumption norms, fabric inspection images, lab dips and shade readings, job-work orders.
- Outputs
- StitchIQ line balance of operators to operations, achieved against achievable fabric use with marker re-plans, WeaveNest fabric-defect flags, DyeNest shade matching (ΔE CIEDE2000) and right-first-time recipe ranking, and dispatch and receipt at each job-work tier.
- Used by
- Industrial engineers, cutting room, dyehouse, merchandisers, quality.
- Value
- More pieces per hour and less fabric and dye re-work, measured style by style.
- Works with
- Suggest-only on SAP: every output is a recommendation package (a balance plan, a marker re-plan, a recipe ranking), never an auto-post. Fabric-defect and dyeing models learn from your own inspection and lab data, and abstain until they have enough of it.
- In action · illustrative
- A 42-operation style is balanced across 28 operators, and the bottleneck operation shows up before the line is loaded.
Semiconductor packFab and OSAT operations on the same core: yield root cause with wafer-map evidence, assembly and test scheduling, and field returns traced back to the wafer.
- Challenge
- A yield excursion takes days of engineers joining spreadsheets, and field returns never reach the fab.
- Inputs
- Lot and unit genealogy, tester files, wafer maps, MES and SPC data.
- Outputs
- Cited cross-stage root cause, assembly and test schedules, and HOLD, SCRAP or RELEASE proposals for an engineer to approve.
- Used by
- Yield, test and quality engineers at fabs and OSATs.
- Value
- Root cause with its evidence, and every lot disposition approved by a person.
- Works with
- Offered to semiconductor customers by our sister brand Semi³.
- In action · illustrative
- An SPC excursion at final test is traced across stages to one process step, with wafer maps attached, and a HOLD is proposed for the engineer.
What the intelligence actually does
Five levels, from seeing what is happening to learning from it.
OEE, energy and cost per unit by machine, line and plant; every PO from draft to GRN; vendor acknowledgement, dispatch and messages in one place.
What a stop does to the week (the jobs that move and the jobs that go late), material shortfalls before the run, supplier delays on open POs, and each machine's likely failure mode with a remaining-life band.
One CP-SAT solver splits demand across lines and co-packers within MOQ, truck fill, changeover and capacity limits, and writes down why.
After approval, POs are created and posted to your ERP, vendors are notified through the portal, re-plans become the live schedule and work orders go to your CMMS. Connectors are configured per deployment.
Every proposal, approval and result lands in one audit trail. Vendor timings feed the health score, CAPA checks show whether a fix held, and each asset's failure history sharpens its remaining-life estimate.
Runs automatically
- Machine event ingest, OEE, loss-tree and handover updates
- Anomaly flags with their evidence, or an abstain
- Vendor message reading and health-score updates
- The nightly material gap check, which drafts PO proposals
- Agents drafting re-plans, delay warnings and work orders
Always waits for a named person
- Every allocation run before its POs are created (procurement head)
- Every PO, by value tier: ₹2 L and ₹10 L by default, with delegation
- Every draft PO from the gap check
- Every schedule revision (plant head)
- Every maintenance work order written to your CMMS
What it helps you work toward, and how we measure it
We agree the baseline with you in writing before a pilot starts. These are the outcomes we measure.
Fuller trucks, fewer overbuys
Splits that meet every MOQ and keep every truck between 80% and 100% full where the volume allows.
Truck fill and units bought above need, per allocation run, against a baseline agreed in writing.
POs acknowledged and delivered on time
Vendors see their POs in a portal, so acknowledgement and dispatch stop depending on phone calls.
Share of POs acknowledged within the agreed window and delivered on the PO date, from the PO log.
Shortages found before the line
The nightly check compares the schedule with stock and open POs, and drafts the PO.
Material gaps found by the check against gaps found at the line, per month.
Lost hours ranked by cause
OEE and a loss tree per line show where the hours go, with anomalies flagged on evidence.
OEE and loss hours by cause, per line, week on week.
Disruptions answered with a plan
A re-plan and a fresh allocation give the approver real options with their trade-offs.
Late jobs and late cases after a disruption, and time from the event to an approved plan.
A plant that sends 40 co-packer trucks a month at 78% average fill would carry the same volume in about 35 trucks at 90% fill. For scale: in an internal benchmark on test data, the allocation solver found the proven-optimal split for 51 SKUs and 153 demand lines in 3.6 seconds.
Integration, control and deployment
ERP & system integration
Works with SAP, Oracle and Excel: MPS, vendor, material, PO and GRN reads, and PO creation after approval. Machine data by OPC-UA, MQTT, historian, webhook or CSV; MES links and WhatsApp or email channels through adapters. Connectors are configured per deployment and start read-only.
Data sources & connectivity
Every AI output carries an evidence score and its sources, or abstains. One audit trail records proposals, approvals and executions.
Deployment & implementation
Container-based: runs in your cloud or on your own servers. A separate model server can run at the plant edge or air-gapped.
Configuration & business rules
Industry packs switched on per company. Approval tiers, vendor-score weights, solver priorities, reorder thresholds and plant vocabulary are settings, not code.
Roles, access & approvals
Role-based screens and APIs for planning, procurement, management, quality, maintenance and the vendor portal. PO maker-checker with value tiers, delegation and escalation, and role rules on every Approval Inbox item.
Security, governance & audit
Tenant isolation in the database through row-level security. PII masking and cost limits sit inside the AI gateway. Vendors see only their own POs, with your customers masked.
Human oversight & exceptions
Approval Inbox with audited states, an autonomy dial per decision type and a kill switch per company. Agents act with approval; autonomy is extended one decision type at a time, on measured results and with your agreement.
Scale & ongoing optimization
A 51-SKU, 153-line allocation solved to proven optimal in 3.6 seconds (internal benchmark). Plants, packs and companies run on one core, so a new plant is added by configuration.
Questions about OpsNest
Something else? Ask a specialist.
Do we have to replace SAP or our MES?
What runs automatically, and what waits for a person?
Does the AI make the numbers?
What do you need from us to get started?
We run a fab or an OSAT. Is OpsNest for us?
Discuss your production and procurement challenge
OpsNest connects the line, the plan and the PO, so a stop on the floor becomes an approved plan with POs behind it. Numbers come from a solver or a rule, the AI explains them, and a named person signs every write.
Plants that make in-house and through co-packers, converters or job workers, in FMCG, paper and board, and apparel.
Works alongside
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SourceNest
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Stocki
Know what your stock costs you each month, and keep the right stock in the right place.
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