Venture Clienting with a Leading Swiss Home Solutions Provider 

Focus Area 1: AI-based Recommendation System 

What is the company looking for? 

In the premium home appliance market, every repair or replacement decision counts — for both customer satisfaction and business performance. 

Currently, these decisions — such as whether to repair a malfunctioning oven or recommend a new model — are manual, inconsistent, and not data-driven. Employees follow rigid decision trees, applied differently in practice, and need to navigate complex information like margins, stock levels, and customer preferences, making the process more error-prone. 

With thousands of service cases and a diverse product portfolio, this approach leads to inefficiency, higher costs, and missed opportunities to delight customers. 

The company aims to change this by introducing an AI-powered recommendation system. The goal: to deliver fast, reliable, and customer-oriented recommendations, enhance efficiency, lower costs, and create a seamless experience for sales staff and clients alike. 

Core Question & Goals 

How can we develop a scalable and user-friendly AI-based recommendation system that enables sales staff to make faster, more consistent, and economically sound repair-or-replacement decisions? 

The solution should be able to: 

• Incorporate and process relevant data from multiple internal sources (e.g., SAP, PIM, Salesforce, Snowflake), including damage descriptions, device specifications, customer preferences, and economic factors such as margin, stock levels, and cost ceiling. 
• Enhance the existing internal decision tree, making it more flexible, scalable, and digitized. 
• Analyze: 
• Damage type (mechanical/electronic) and device eligibility (type, brand, age, warranty). 
• Customer constraints (budget, size, brand preference). 
• Economic parameters (margins, stock, repair cost thresholds). 
• Generate recommendations: 
• Automatically create repair orders when repair is deemed optimal. 
• Provide a ranked list of suitable replacement products when replacement is preferred. 
• Integrate seamlessly with existing internal systems via APIs (SAP, PIM, Salesforce, Snowflake), and ideally run within the company’s Microsoft environment or on-premise infrastructure. Cloud-based solutions are also considered but subject to stricter security approval. 
• Offer a simple, intuitive UI that supports sales staff under time pressure, without requiring technical expertise. 
• Be scalable and adaptable to the needs of both kitchen and bathroom product domains. 

In Scope: 

• Software solution development 
• We prefer a ready-to-use, plug-and-play solution, but are also open to adaptable or customizable existing solutions — particularly those that leverage the Microsoft ecosystem (e.g., Copilot Studio and power Automate) to align with internal infrastructure and data privacy standard. 
• Build on existing data sources and internal logic; no extensive new data collection required 
• Focus on repair-or-replacement recommendations in after-sales and product selection 
• Compliance with internal data security and revDSG requirements 

Out of Scope: 

• Development of new hardware or repair tools 
• Broader CRM, logistics, or manufacturing process control 

Knowledge Base:

After registering on the project platform and confirming the terms and conditions of participation, documents containing further information will be made available.