Vestel Orchestrates Omnichannel Excellence Building a Living S&OP Ecosystem with Solvoyo

Process & Capabilities

Demand Planning 

• Centralized Master Data Management
• Monthly Forecast with Weekly Disaggregation
• Collaborative Forecasting & Scenario Management (DPUI)
• Data-Driven Decision Support

Replenishment 

• Daily & Weekly Plan & Projection for the Coming Weeks
• Integration with Different Data Sources (SAP & Salesforce)

S&OE / SAS Revision and Stock Transfers

• Dynamic SAS & Stock Transfer Adjustment During the Month

AI Capabilities for Autonomous Retail Project

• Utilizing machine learning models for product and store classification, sales seasonality and trend analysis, campaign classification, and measuring campaign impact.
• Using Large Language Models(LLM) for data and result analysis
• AI Agents(Chatbots) performing various tasks in business processes.  

Project Impact at a Glance

• Unified S&OP Platform: A “Digital Table” facilitating collaboration between Sales, Marketing, and Supply Chain.

• 14 Active Sales Channels: Spanning Dealers, Retail Stores, E-commerce, Public Sector, and Modern Trade (Zincir).

• AI-Driven Forecasting: A dynamic model integrating campaign mechanisms and product lifecycles.

• Autonomous Replenishment: Constraint-based planning factoring in vehicle capacities and warehouse limits.

• 42000 Active SKUs: Managed through advanced scenario-based simulations.

• %96 User Acceptance Rate for Retail Channel.

The Challenge: Beyond Logistics – A Cultural Transformation

Vestel’s retail ecosystem is driven by a powerful dealer network, which accounts for %54 of its revenue. The project navigated three primary strategic hurdles:

• Change Management & Trust: Moving from “intuition-based” manual ordering to a system-driven autonomous model required a transparent decision-support mechanism to build trust among field teams and dealers.

• Commercial Quota Management: The system needed to go beyond mathematical replenishment; it had to fulfill monthly dealer quotas and commercial targets (Fulfillment) while simultaneously maintaining Healthy Inventory levels to prevent aging stock.

• Cross-Functional Alignment: The necessity to integrate marketing campaigns, warehouse capacities, and sales targets into a single, visible, and actionable plan.

Solvoyo’s Approach: A Decision Engine Grounded in Operational Reality

Solvoyo placed Vestel’s operational realities at the core of the project, delivering a “living” engine focused on three pillars:

1. Strategic S&OP Framework 

By implementing a robust S&OP platform, Vestel gained the ability to perform Scenario Comparisons. S&OP, Planning, Marketing & Sales Departments can now evaluate budget targets against replenishment realities and receive data-driven answers to “What-if” marketing and supply chain questions, such as how the inventory balance would be affected if we operate based on monthly sell-in targets, versus shifting to a retail-centric approach 

2. Intelligent Demand Sensing & Campaign Integration

The engine analyzes more than just historical data; it actively processes:

• Marketing Inputs: Future campaign mechanisms are integrated directly into the demand model.
• Product Lifecycle Management: Automated management(forecast unit methodology, similarity-based forecasting) of new product launches and phase-out strategies for end-of-life stock. 
• Substitutability & Segment Management: Advanced logic for niche products and equivalents) SKU management.

Since new SKUs have no historical sales data, Solvoyo automates forecasting by identifying product similarities and functional attributes (e.g., screen size, energy rating, technology tier). The system automatically maps the sales profile of a legacy product onto the new launch item. This ensures accurate baseline forecasting from Day 1, preventing both initial launch stockouts and end-of-lifecycle excess inventory.
Solvoyo also brings Dynamic Safety Stock Optimization. Instead of static targets, the system calculates inventory buffers automatically based on specific, differentiated Service Level (OTIF) targets, demand volatility, and supplier lead times per location. High-margin or high-running SKUs are automatically secured with safer buffers to protect the top line, while slower-moving items are optimized to free up working capital. 

3. Autonomous Replenishment with Real-World Constraints 

The “Replenishment Plan” (Besleme Planı) is no longer a theoretical exercise. It now factors in:

• Logistics Constraints: Vehicle capacity calculations, warehouse occupancy limits, and optimized transfer routes.
• Dealer Performance: Analyzing point-of-sale stock-out (OOS) risks and sell-out velocity to ensure “Healthy Inventory” is optimized across all nodes.

Key Milestones: From Disjointed Data to Collaborative Discussion

The turning point of the OPP project was the significant increase in Acceptance Rates. By providing field teams with transparent dashboards and error-management tools, the resistance to change was replaced by data-driven collaboration.

• Scenario-Based Planning: The transition from static planning to a “3-Way Scenario Comparison,” allowing executives to balance risk and reward effectively.
• Integrated Logistics: Moving beyond simple stock transfers to “Constraint-Based Replenishment,” ensuring that autonomous orders are operationally executable on the ground.

Solvoyo’s Digital, Intelligence & Autonomous Vision

At the core of this transformation lies Solvoyo’s three-step evolutionary framework, successfully bringing next-generation capabilities down to daily execution

• Digital Integration: Establishing a ‘Single Source of Truth’ by unifying fragmented data streams across all departments into a single, high-fidelity platform.
  Unifying Vestel’s fragmented ecosystem, spanning SAP (for manufacturing, core enterprise data, and warehousing), Diva (for live dealer and retail network transactions), and countless legacy spreadsheets (for localized planning), into a single, high-fidelity platform was indeed our most monumental challenge.

We bridged this gap and built Vestel’s digital backbone through a three-step integration methodology:

• Flexible Data Ingestion (Decoupling the Systems): We built robust data pipelines capable of ingesting varied data formats—whether it was structured API/database feeds from SAP, real-time transaction logs from Diva, or flat spreadsheet uploads from regional planners.
• Data Harmonization & Cleansing (Speaking the Same Language): Solvoyo’s integration layer automatically cleanses, normalizes, and maps the master data that was in different forms in different systems. It resolves discrepancies in units of measure, time buckets, and SKU hierarchies, translating disjointed data streams into a standardized, unified data model.
• Automated Syncing Cycles: By establishing automated daily and weekly data synchronization schedules, we transformed lag-heavy historical reporting into a dynamic planning environment.
• Intelligence Automation: Translating this raw data into predictive, actionable insights and optimized workflows, turning passive metrics into automated operational work orders. Such as S&OP Platform, KPI Dashboards, Exceptions & Alerts pages.
• Autonomous Execution: Realizing a ‘Minimum-Touch’ operational reality, where routine supply chain decisions are fully automated, allowing teams to shift from manual execution to strategic exception management. In practice, these automated decisions encompass omni-channel replenishment workflows tailored for dealer networks and retail stores, including the direct recommendations and continuous adjustment of purchase orders, forecast comparison & alignment. Driven by advanced optimization algorithms, these smart applications proactively address inventory imbalances by auto-generating corrective actions for both excess stock mitigation and out-of-stock prevention, thereby safeguarding perfect order fulfillment. 

Measurable Business Outcomes

Today, Vestel manages its omnichannel world with precision and agility:

• Enhanced Forecast Accuracy: AI models successfully capture campaign-driven demand spikes, significantly reducing lost sales.
• High Buy-in & Trust: Achieving a %90 Replenishment Acceptance Rate through transparent reporting and collaborative S&OP cycles.
• Optimized Inventory Health: Improved store stock composition via “Stock-Day Analysis,” leading to a substantial reduction in atıl (idle) inventory.
• Unified Vision: A repeatable process where stakeholders discuss data rather than assumptions, driving a measurable improvement in the fulfillment of monthly dealer quotas.