wiki/mandates/vattenfall/110 Interviews/118 Interview Annemarie - Director Sales and Operation Germany/Use Cases BU.md
2025-09-22 00:39:23 +02:00

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AI Agents & automations thoughts that can benefit the entire BU
🏷 Sales
• Contract Copilot agent: scans CI/VI contracts, flags risks/clauses, indexes terms; generates draft Single Site agreements automatically from CRM data. Created together with legal teams per country
• Pricing Optimizer agent: simulates customer usage across AC/DC/HPC and suggests tariff adjustments to balance competitiveness, ROI, and utilization.
• Lead & Opportunity Sourcing Agent: monitors tenders, fleet electrification announcements, and retail expansions; flags new sites/partners.
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⚙️ Operations
• Customer Follow-Up Automation: sends reminders when customers dont respond;
• Agent: Customer Service Copilot: triages tickets, performs quality checks after training, and provides German chatbot support for 1st-level requests.
• Agent: Incident Predictor: monitors charger/payment data, raises alerts before customers report issues, and flags data quality problems.
• Agent: Fraud Watchdog: detects unusual charging or payment behavior (e.g. RFID misuse, stolen cards, suspicious usage).Takes standard action based on pattens
• Agent: Back-Office Automator: automates compliance checks and invoicing for standard cards; supports bulk whitelisting of specific card groups (e.g. fleets).
• Agent: Customer service Automation learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation). Salesforce Einstein has many great examples of this for cases.
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🛠 Asset Management
• Maintenance Predictor: anomaly detection from charger telemetry (ABB, Alpitronic, Compleo);This could also be done by integratuing partner APIs (e.g. Monta or from our hardware providers, they are also building this).
• Asset Lifetime Advisor: recommends part swaps or preventive repairs before breakdowns.
• Investment Prioritizer: ranks assets/sites for upgrade vs. replacement based on ticket history and recurring issues.
• Usage Insight Agent: identifies underperforming or high-potential locations.
• Customer Follow-Up Automation: sends reminders when customers dont respond; learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation).
• Customer Priority Scanner: pre-screens all incoming cases and tickets to flag priority A customers (e.g. VF executives/board); links even personal emails to sites/IDs.
• Invoice Checker: automatically cross-checks EPC/service invoices against closed contracts; flags mismatches in pricing or scope before approval.
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🚧 Delivery
• Document Checker: auto-scans permitting documents, EPC contracts, and compliance materials.
Top Automation
Customer Follow-Up Automation: sends reminders when customers dont respond;
Top 5 Agents
1. Customer service Automation learns from Microsoft Dynamics/Service cases to generate standard replies; works like training a new employee (human check first, then automation). Salesforce Einstein has many great examples of this for cases.
2. Invoice Checker: automatically cross-checks EPC/service invoices against closed contracts; flags mismatches in pricing or scope before approval.
3. Lead & Opportunity Sourcing Agent: monitors tenders, fleet electrification announcements, and retail expansions; flags new sites/partners.
4. Customer Service Copilot: triages tickets, performs quality checks after training,
5. Incident Predictor: monitors charger/payment data, raises alerts before customers report issues, and flags data quality problems.
Nice to have, projects for a hackathon
1. Customer Priority Scanner: pre-screens all incoming cases and tickets to flag priority A customers (e.g. VF executives/board); links even personal emails to sites/IDs.