--- title: "AI Agents" canonical: "https://wiki.soft1.eu/space/SS5EN/1848050074/AI%20Agents" format: markdown --- --- --- #### ➡️ **Available Agents** View all available Agents, along with brief descriptions of their capabilities and features, so you can choose the one that best meets your business needs. --- > Macro (refined-expands) > > > Macro (refined-expand) > > | **Question - Recipe** | **Business Benefits** | > | --- | --- | > | **Business Development – Ideas & Solutions **
*-> A strategic roadmap for growth through evidence-based, data-driven recommendations* | **Use Case**: The user needs a comprehensive growth strategy with actionable recommendations based on real data.
**When to use:**
- During the annual strategic planning process and the preparation of the business plan > - In board presentations to support strategic decisions > - For investor reporting and growth trajectory presentations > - When evaluating new investments or partnerships | > | **RFM Analysis (Recency, Frequency, Monetary)**
* → Customer segmentation for targeted marketing & sales actions to maximize Customer Lifetime Value (CLV)* | **Use Case:** The user performs customer segmentation to identify VIP customers, at-risk accounts, and inactive customers.
**When to use:**
- Targeted marketing campaigns per segment > - When designing loyalty programs and retention initiatives > - Sales prioritization to focus on high-value accounts > - For personalized communication strategies | > | **Safety Stock Forecast (6 months)**
*-> Avoid stockouts and *overstocking,* optimize working capital* | **Use Case:** The user manages inventory risk by ensuring sufficient stock levels without excessive capital tie-up.
**When to use:**
- During the semi-annual inventory planning > - Proactive preparation during seasonal demand peaks > - For working capital budget planning > - When there is uncertainty in the supply chain | > | **Basket Analysis **
*-> Increase average order value through cross-selling and upselling strategies* | **Use Case:** The user identifies purchasing patterns to design targeted cross-selling strategies and optimize product placement.
**When to use:**
- For cross-selling and upselling campaigns based on data-driven insights > - When designing bundles and package deals > - In e-commerce personalization and product recommendations > - For planogram optimization in retail environments | > | **Gross Margin Return on Investment (GMROI) **
***→ ****Identifying underperforming products to optimize inventory & portfolio * | **Use Case:** The user measures the efficiency of capital tied up in inventory and identifies products that do not justify the investment.
**When to use:**
- In the annual inventory investment review > - For open-to-buy planning and purchasing budget allocation > - When negotiating commercial terms with suppliers > - For portfolio rationalization decisions | > | **Customer Financial Data Analysis**
*-> Improving credit policy, strengthening cash flows, and reducing bad debt*** ***risk* | **Use Case:** The user evaluates customers' financial behavior to optimize credit policy and reduce the risk of bad debt. > **When to use:**
- For credit limit reviews and adjustments > - When managing overdue accounts/receivables > - During the onboarding of new customers for credit assessment > - For cash flow forecasting based on collection behavior | > | **Inventory Turnover Ratio**
**→ **Inventory efficiency assessment & optimizing tied-up capital | **Use Case:** The user evaluates inventory management efficiency by identifying products with low or high turnover rates.
**When to use:**
- Monthly/quarterly warehouse KPI reviews > - For working capital optimization > - When evaluating suppliers and lead times > - In category management decisions | > | **ABC Classification (Sales Volume & Value) **
*→ Focusing resources on critical, high-value products/services (Category A)* | **Use Case:** The user applies Pareto analysis to identify the products that generate 80% of the value and allocate resources effectively. > **When to use:**
- For inventory prioritization and differentiated management > - Designing purchasing policies per category > - Warehouse layout optimization based on movement/velocity > - For service level differentiation per product category | > | **Product & Service Profitability Analysis**
***-> ****Identifying profitable and *loss-making *products for strategic pricing decisions* | **Use Case:** The user evaluates the actual contribution of each product /service for strategic portfolio and pricing decisions.
**When to use :**
- For pricing reviews and price adjustments > - When negotiating commercial terms with suppliers > - Product mix optimization to maximize gross margin > - For decisions to discontinue unprofitable products | > | **Sales Growth Rate**
*-> Measuring growth momentum & evaluating commercial strategy effectiveness.* | **Use Case:** The user monitors growth trends at the product and category level for strategic investment decisions.
**When to use:**
- Quarterly business reviews for management presentations > - For setting sales targets based on historical performance > - When planning marketing campaigns for growing categories > - In investor reporting to demonstrate the growth trajectory | > | **Sales Analysis of New Customers**
*→ * Evaluating customer acquisition effectiveness & commercial activities ROI | **Use Case:** The user measures the effectiveness of customer acquisition and evaluates the ROI of commercial and marketing initiatives.
**When to use:**
- To evaluate marketing campaigns and lead generation > - As part of the annual marketing and sales budget > - In channel performance reviews to optimize the mix > - For sales team performance evaluation | > | **Customer Churn Rate**
*→ Timely identification of churn risk & implementation of corrective retention actions* | **Use Case:** The user monitors customer retention and identifies early churn signals for proactive actions.
**When to use:**
- In monthly customer health reviews > - For retention campaign planning prior to contract expirations > - When evaluating the effectiveness of customer success > - For CLV optimization and revenue protection | > | **Days Sales Outstanding (DSO)**
*→ Improving cash flows & evaluating the effectiveness of credit policy.* | **Use Case:** The user monitors collection efficiency and evaluates the effectiveness of the credit policy.
**When to use:**
- In monthly treasury reviews for liquidity management > - For credit policy adjustments based on collection performance > - When negotiating credit limits with banks > - In working capital optimization programs | > | **Sales Trends & Product Performance**
*-> Early identification of opportunities and threats for proactive portfolio management* | **Use Case:** The user monitors performance to identify winners and underperformers for efficient resource allocation.
**When to use:**
- During monthly sales reviews to identify immediate corrective actions > - For promotional planning targeting trending products > - When negotiating with suppliers based on performanc > - Range rationalization decisions | > | **Demand Forecasting with Seasonality**
*-> Order optimization & reduction of storage costs through accurate forecasting* | **Use Case:** The user applies demand planning to align inventory, production, and procurement with actual purchasing behavior.
**When to use:**
- When planning seasonal campaigns > - For S&OP (Sales & Operations Planning) meetings > - In new markets where demand must be assessed > - Warehouse capacity planning | > | **Customer Segmentation**
*-> Tailored commercial approaches to maximize revenue per customer segment* | **Use Case:** The user creates detailed customer profiles based on behavior and preferences to enable personalized commercial approaches.
**When to use:**
- For personalized marketing campaigns per segment > - When designing a pricing policy per category > - Sales territory planning and account allocation > - For product development based segment needs | > | **Customer Churn Prediction**
**-> ***Proactive retention of high-value customers & reduction of revenue loss costs* | **Use Case:** The user applies predictive analytics to identify at-risk customers before they churn and to take proactive actions.
**When to use:**
- For proactive retention campaigns targeting high-value accounts > - When designing customer success interventions > - Subscription renewal management > - For revenue protection and CLV maximization | > | **Product Life Cycle Analysis** > *-> Strategic decisions regarding investments, *phase-outs*, and portfolio renewal* | **Use Case:** The user identifies the life cycle stage of each product to optimize the portfolio and make strategic investments.
**When to use:**
- At an annual portfolio review with commercial and product teams > - For a pricing strategy per lifecycle stage > - When planning new product launches > - Markdown & clearance decisions for declining items | > | **Lead Time Forecasting** > *-> Eliminating stockouts & optimizing the inventory replenishment cycle* | **Use Case:** The user automates orders, eliminating the risk of stockouts while keeping storage costs low.
**When to use:**
- During the configuration of ERP/WMS ordering parameters > - In new partnerships with suppliers with varying lead times > - When demand patterns change due to seasonality > - For lean inventory management initiatives | > | **Detection of Anomalies in Warehouse Movements** > *-> Identifying errors, shrinkage, or fraud in inventory transactions* | **Use Case:** The user implements internal controls to protect inventory, detect errors, and ensure data integrity.
**When to use:**
- During regular internal warehouse audits > - When discrepancies occur between physical and book stock > - For shrinkage management and loss reduction > - During audits conducted by external auditors | > | **Customer Transaction Anomaly Detection** > *-> Protection against unusual transactions & improvement of customer data quality* | **Use Case:** The user identifies suspicious or unusual customer transactions to prevent fraud and improve data quality.
**When to use:**
- In fraud prevention and compliance reviews > - For data quality management and CRM data cleansing > - When identifying unusual buying patterns > - In credit risk management for credit risk | > | **Service Transaction Anomaly Detection** > *-> Ensuring service data integrity & identifying operational deviations* | **Use Case:** The user monitors the integrity of service data and identifies operational discrepancies that affect quality.
**When to use:**
- In service quality reviews and SLA monitoring > - For operational efficiency audits > - When identifying billing discrepancies > - In compliance and regulatory reporting | --- --- ---