Make one order work from intake through shipment.

Kavop works with China-facing manufacturers on the path connecting customer orders, factory capacity, and shipment milestones. Current external validation is centered on APS scheduling and due-date analysis.

Current focus
AI-assisted capacity scheduling and order due-date analysis
Built for
Manufacturing owners, operations leaders, production planning teams, and planners
First step
Run a reviewable plan from anonymized orders and existing scheduling data

We focus on how an order keeps moving

Most manufacturers already have an ERP, an MES, spreadsheets, and a set of shop-floor habits. The recurring questions are more immediate. Can this order ship on time, where is the bottleneck, and which committed orders move when a rush order enters the plan?

Kavop works on those questions. It reads orders, routings, machines, materials, shifts, and due dates so planners can review candidates within the represented scope before the company makes a customer promise.

Scheduling and due dates come first

The current core product is an AI-assisted production scheduling and order due-date workspace. It can work with ERP exports, spreadsheets, existing schedules, and operating rules to compare plans and explain late orders, bottlenecks, and rush-order impact.

Planners remain responsible for adjustment and approval. Kavop supports export, while controlled release remains limited in scope. It does not take over production-critical decisions.

Validate it with one real order set

A project can start with anonymized orders, one workshop, or one planning cycle. The first version uses read-only material, makes no write-back to production systems, and does not require perfect master data on day one.

When the material is suitable, the working target is a first reviewable plan within seven to ten business days. Your team can inspect the result, the risk explanation, and the adjustment process before deciding what comes next.

The operating boundary stays visible

Kavop is not positioned as an unsupervised production system and does not replace an ERP or MES. Order coordination and ocean shipment are part of the longer operating path, while current external validation remains centered on APS scheduling.

Customer names, logos, operating figures, and outcome claims are published only after verification and explicit permission. Customer stories will grow as those materials become publishable.

Bring the schedule you already use and start with one order set.

Order lists, routings, critical machines, material status, and operating rules can all be anonymized first. The first round stays read-only. Planners still verify unmodelled shop-floor conditions. Risk explanations cover late orders, bottlenecks, and rush-order impact within the represented scope. Sample findings cannot be extrapolated to the whole plant. The seven-to-ten-business-day target is not an unconditional SLA. Order coordination and ocean shipment are Kavop's long-term direction around one order, not a complete production product flow already in market. Current material must not present sample validation as a customer case, customer outcome, fixed ROI, industry result, or scaled deployment.

Book an order-focused demo