FACTORYLAUNCH / AI IMPLEMENTATION
Start with everyday work, not with a model.
Choose one worthwhile problem in inquiries, quotations, product information, follow-up or internal knowledge. Test a focused pilot, then scale only what works.
FIVE PRACTICAL STARTING POINTS
Organize authorized email, website or Alibaba inquiry exports into reviewable summaries: country, product, specifications, quantity and requirements. Access and integration options are assessed before connecting any source.
Extract specifications, find products and past quotes, check MOQ, organize quotation inputs and flag missing information. Assist quotation preparation without deciding prices. No automatic pricing without client-provided, approved price data.
Organize authorized Excel, ERP exports, PDFs and catalogs into categories, names, specifications, bilingual descriptions and FAQs. Technical reviewers verify the result before it enters product catalogs or website content.
Product catalog services · Factory website servicesHelp employees find information in authorized specifications, certifications, materials, processes, quotation rules, customer requirements and SOPs. Restrict access by role and retain sources for checking; unresolved questions go to the responsible person.
Bring together customer stages, recent interactions and pending actions to suggest next steps and draft messages. Sales staff decide when and to whom to send; pilots do not contact customers automatically by default.
FEATURED PILOT CONCEPT
Combine inquiry summaries, requirement extraction, product lookup, reply drafts, reminders and status organization around one export-sales workflow. It can be configured and piloted around the company’s actual process.
This is a proposed pilot direction, not an available standard SaaS product. Scope, data sources, interfaces and acceptance criteria must be agreed before work starts.
Discuss an AI workflow pilot ↗ILLUSTRATIVE INTERFACE · SAMPLE CONTENT
SCAN → PILOT → IMPLEMENT
Review existing processes, repetitive work, data and access. Assess opportunities, difficulty and expected operational value. Deliver an AI Opportunity Map with problems, candidate workflows, dependencies, priorities and validation methods.
Choose one problem and one workflow. Agree the problem and acceptance criteria, prototype with authorized real data, test, deploy within the agreed scope and collect feedback. Then decide whether to continue, revise or stop.
FDE means Forward Deployed Engineer: working with business teams to discover problems, connect data, build and deploy tools, train users and iterate. This is a project delivery approach, not a promise of permanent staffing or employment. Responsibilities, access and maintenance are agreed in scope.
Initial work focuses on office, sales, export and information workflows. ERP / MES replacement, PLCs, industrial and equipment control, safety-critical automation, complex supply chains and large enterprise platforms require separate assessment; this page does not establish their deliverability.