For a coordinator, the biggest risk is memory,
so we turned it into a system
What separates a trader from a solutions partner is rarely how many factories they know — it's whether requirements are captured structurally, whether reviews leave a conclusion, whether deviations are closed out, and whether batch documents can be pulled up on demand. Unibest's Delivery Platform hardwires this chain into six stages, each with defined inputs, outputs, and owners.
The six-stage chain: from inquiry to delivery
The horizontal axis is the workflow; the vertical axis is accountability — each stage shows what AI does and what humans do.
- Parse unstructured descriptions from emails, RFQs, and chat logs into a standard requirement sheet
- Auto-complete CAS numbers, synonyms, molecular formulas, and target-market registration requirements
- Flag missing items (specs? quantity? documentation?) and clarify them in one pass instead of repeated follow-ups
- Confirm the customer's true intended use and compliance constraints
- Decide whether the item falls into a category requiring manual review
- Preliminarily assess route feasibility, key steps, and impurity risk points from structure and specs
- Match capacity, reaction types, and qualifications within the vetted supplier network
- Provide cost ranges, lead-time ranges, and risk notes for humans to decide
- Lead chemist confirms the route and acceptance criteria
- Decide go or no-go — AI never says 'we can do it' on our behalf
- Send inquiries to matched plants and analytical labs on a uniform template with consistent spec terms
- Collect responses and compare on a like-for-like basis (total cost including documentation and lead time, not just unit price)
- Track response timeliness with automatic reminders on overdue items, so requirements don't sink in the inbox
- Confirm production-priority scheduling with core plants
- Negotiate and commit on commercial terms
- Receive QC results and raw spectra into the archive, checking conformance to the established method
- Auto-create, assign, and track deviations through to CAPA closure — no reliance on memory
- Generate COA and batch-record summaries per batch, mapped one-to-one to the data room
- QA judges the nature of deviations and whether to release
- Supplier audits and quality-agreement changes
- Assemble route, analytical methods, impurity profile, batch records, and stability data into a technical dossier
- Extract the registration-module content required by the target market and flag any gaps
- Deliver the document set complete in one pass, avoiding 'one missing page, two more weeks'
- Regulatory lead reviews and signs off
- Make the final confirmation against the target market's regulatory requirements
- Customers see progress in-portal: assessed / dispatched / in production / in QC / delivered
- After delivery, write back supplier scores to feed the next round of matching
- Reuse historical routes and documents from similar projects — the Nth order is faster than the 1st
- Customer-relationship upkeep and repeat-order judgment
- Make the final call on scoring and supplier elimination
AI trial run · three stages
Checking AI status…Paste a real inquiry (email, RFQ sheet, chat log) and see the first three stages run: requirement structuring → technical review & supply matching → dossier gap check. Every run is logged for human review.
Drop in the raw customer text — no need to clean it up.
Deterministic matching against in-house inventory first, then model judgement.
Check documents against the target market's registration pathway and surface gaps early.
Human：AI output is for reference only and is not a technical or compliance commitment. Route feasibility, acceptance criteria and release decisions take effect only after Unibest technical / QA and RA sign-off.
This run has been logged (capability, time, conclusion digest) and can be retrieved during human review.
Coordination is coordination — so where's the difference?
| Stage | Typical coordination | Unibest Delivery Platform |
|---|---|---|
| Requirement capture | WeChat, email, and Excel kept separately, relying on the sales rep's memory | One unified structured requirement sheet, with gaps auto-listed |
| Technical review | A verbal 'we can do it,' explained only after something goes wrong | Review on record: route, risks, acceptance criteria, and conclusion |
| Outsourcing & dispatch | Private one-on-one quotes per supplier, with inconsistent terms that are hard to compare | Same template and specs sent in parallel, compared on total-cost basis |
| Quality data | Reports scattered across personal inboxes, untraceable afterward | Raw spectra and batch records archived centrally, fully traceable |
| Deviation handling | Deal with it once found — often the customer finds it first | Deviations auto-ticketed through to CAPA closure, with a closed-loop audit trail |
| Document delivery | One missing page means waiting two more weeks | Delivery package complete in one pass, gaps flagged in advance |
| Progress sync | Customers keep chasing; replies are always reactive | Progress visible in-portal, status pushed proactively |
| Experience reuse | Swap in a new person and it all starts over | Routes and documents are banked, so similar projects get faster each time |
Four rules we never cross
The place automation most easily runs out of control is overstepping its authority to commit. We put the boundaries up front.
Feasibility conclusions, lead-time commitments, and price commitments are always signed off by a human. AI only makes preliminary judgments and recommendations — it never commits externally.
QC results, spectra, and batch records are archived as originals — only indexed and checked, never embellished.
Sanctioned regions, dual-use items, highly active and hazardous reactions are always auto-routed to manual review and never enter the automated flow.
Without a signed confidentiality agreement, no process, route, or real customer name is shown; all data-room access is fully logged.
Want to see this chain in action?
The most convincing proof isn't a description — it's sending in a real requirement. From submission to a technical assessment and commercial proposal typically takes three business days.
The platform capabilities described on this page are an external-facing description of Unibest's internal delivery process. The actual visibility scope and document-delivery checklist are governed by the contract.