MCP For Claude Marketplace
Wine Allocations Management

Wine Allocations Management MCP Connector for Claude

A+

Optimized distribution planning for finite wine inventory across sales channels.

4 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a specialized optimization engine for distributing limited wine inventory. It balances margin targets against customer loyalty and historical growth requirements using advanced fairness constraints. Use get_allocation_plan to generate optimized distribution plans, get_channel_performance_forecast to predict commercial outcomes, validate_growth_feasibility to check growth targets, and get_allocation_rationale to understand the logic behind specific channel allocations.

wineinventoryoptimizationdistributionlogistics

4 tools expose this connector's capabilities to your AI agent.

get_allocation_plan

Generates the primary optimized distribution plan for a specific wine product

get_allocation_rationale

Provides a human-readable explanation for why a specific channel received its specific allocation

get_channel_performance_forecast

Predicts the likely commercial outcome of an allocation for a specific channel

validate_growth_feasibility

Checks if a proposed growth target for a channel is realistic

See how to talk to your AI agent using Wine Allocations Management.

Generate an allocation plan for wine 'CHATEAU-2023' with 5000 units available. Channel A wants 3000 units with loyalty 0.8, and Channel B wants 4000 units with loyalty 0.5. Target margin is 0.25.

The optimized plan allocates 3250 units to Channel A and 1750 units to Channel B to satisfy the margin target and fairness constraints.

What is the expected sell-through for 500 units of 'CHATEAU-2023' in the 'Retail' channel?

The expected sell-through for 500 units in the Retail channel is 85%.

Explain why Channel B received 1750 units in the recent allocation plan.

Channel B received 1750 units because the fairness constraint ensured a baseline volume was maintained despite its lower loyalty score compared to Channel A.

The engine uses `get_allocation_plan` to calculate volumes by weighing channel loyalty scores and margin targets while applying fairness constraints to ensure all channels maintain a baseline presence.

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