Full automation: general ledger, tax, assets, inventory, production, FX revaluation. Sequential check, auto-fix, period locking.

Traditional month-end closing requires days of overtime by finance staff. AI closing worker executes automatically overnight, with closing reports ready the next morning.

1)    General ledger closing: auto-check voucher balance, account balance, period-end adjustments, auto-fix or flag anomalies.

2)    Tax closing: auto-calculate taxes payable, generate tax returns, verify input/output tax.

3)    Asset closing: auto-calculate depreciation, process asset changes, generate asset schedules.

4)    Inventory closing: auto-verify inventory book-vs-physical differences, calculate valuation, process adjustments.

5)    FX revaluation: auto-revalue foreign currency accounts at period-end rates, generate FX gain/loss vouchers.

Material/capacity check, scheduling suggestions, batch approval, manufacturing events trigger BOM/purchase.

AI scheduling worker generates optimal schedules based on order priority, material availability, and capacity constraints.

1)    Material availability check: auto-check if required materials are sufficient, generate purchase suggestions if not.

2)    Capacity check: verify if work center capacity and equipment availability can meet production deadlines.

3)    Scheduling suggestions: generate schedules based on priority, delivery date, capacity constraints, forward and backward scheduling.

4)    Batch release: batch release multiple production orders as work orders with approval flow.

5)    Manufacturing event triggers: production completion, material receipt events auto-trigger BOM expansion and purchase requests.

Finite capacity scheduling, multi-objective optimization, Pareto comparison plus Gantt, dynamic event response.

Traditional scheduling considers single objectives. APS smart scheduling simultaneously considers delay, changeover, utilization, energy and more.

1)    Finite capacity scheduling: considers equipment, personnel, tooling constraints to generate feasible schedules.

2)    Multi-objective optimization: simultaneously optimizes delay time, changeover count, utilization, energy consumption.

3)    Pareto comparison: generates multiple Pareto-optimal solutions for comparison and selection.

4)    Gantt visualization: scheduling results displayed as Gantt charts for intuitive viewing.

5)    Dynamic event response: auto-adjusts schedules for rush orders, equipment failures and other events.

Consumption analysis, reorder point optimization, auto PO creation, substitute suggestions.

AI replenishment worker calculates optimal reorder points based on historical consumption and demand forecasts.

1)    Consumption analysis: analyzes historical consumption data, identifies patterns and seasonal fluctuations.

2)    Reorder point optimization: auto-calculates optimal reorder points and quantities based on consumption rate, lead time, safety stock.

3)    Auto PO creation: creates purchase orders when stock falls below reorder point, with approval flow.

4)    Substitute suggestions: recommends substitute materials when stock is unavailable, reducing shortage impact.

PDF/SDS parsing, duplicate detection, classification recommendation, similar material discovery.

AI material governance worker auto-parses technical documents, extracts key info, detects duplicates, and recommends classifications.

1)    PDF/SDS parsing: auto-parses PDF and SDS documents, extracts CAS numbers, composition, density and key info.

2)    Duplicate detection: detects duplicate materials based on name, spec, CAS number, reducing inventory waste.

3)    Classification recommendation: recommends most suitable categories based on material attributes.

4)    Similar material discovery: discovers similar materials for substitute recommendation and standardization.

Problem report, change request, change notice, change task AI check and repair.

AI PLM change worker auto-checks change rationality and impact scope, detecting potential issues and auto-repairing.

1)    Problem report check: AI auto-checks report completeness and accuracy, supplements missing info.

2)    Change request review: AI analyzes change impact scope and risk, provides review recommendations.

3)    Change notice generation: auto-generates change notices from change requests, notifies stakeholders.

4)    Change task tracking: AI tracks execution progress, auto-reminds on delay risks.

Markdown script to Playwright auto recording plus TTS voiceover to FFmpeg MP4.

AI video worker auto-records system operation videos from Markdown scripts, adds TTS narration, and synthesizes demo videos.

1)    Markdown script: write operation scripts in simple Markdown syntax, defining recording steps and narration.

2)    Playwright auto recording: auto-executes browser operations and records screen based on script.

3)    TTS voiceover: converts narration to speech, supporting multiple voices and languages.

4)    FFmpeg synthesis: combines recording and voice into MP4 video with subtitles and transitions.

Smart allocation of limited stock to highest-priority orders, substitute recommendations.

When materials are short, AI reservation worker intelligently allocates limited stock to the most important orders.

1)    Priority assessment: evaluates order priority based on delivery date, customer grade, contract amount.

2)    Smart allocation: prioritizes limited stock to high-priority orders, maximizing customer satisfaction.

3)    Substitute recommendation: recommends alternative materials to mitigate shortage impact.

4)    Reservation adjustment: auto-adjusts reservations when production plans change.