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Sales Strategy Workflow

This tutorial showcases how OVADARE can be utilized to manage multi-agent workflows for creating effective sales strategies.

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Overview

In this scenario, a team of agents is assigned to develop a sales strategy:

• Market Analyst Agent: Researches market trends and customer behavior.
• Competitor Analyst Agent: Analyzes competitor strategies and pricing.
• Pricing Strategist Agent: Develops pricing strategies based on market and competitor analysis.
• Presentation Designer Agent: Compiles the findings into a sales presentation.

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Workflow

1. Agents gather and analyze data.
2. They collaborate to develop a cohesive sales strategy.
3. Conflicts, such as data overlap or strategy contradictions, are detected and resolved.

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Detecting and Resolving Conflicts

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Step 1: Initializing OVADARE

Integrate OVADARE with the agent orchestration system:

from ovadare.conflicts.conflict_detector import ConflictDetector
from ovadare.resolutions.resolution_engine import ResolutionEngine
from ovadare.policies.policy_manager import PolicyManager

conflict_detector = ConflictDetector()
resolution_engine = ResolutionEngine()
policy_manager = PolicyManager()

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Step 2: Define Policies

Set rules to govern agent behavior:

policy_manager.add_policy({
    'name': 'PricingPolicy',
    'rules': {
        'access_level': 'restricted',
        'resource': 'competitor_pricing'
    }
})

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Step 3: Monitoring Agent Actions

Track actions performed by agents:

agent_actions = [
    {'agent_id': 'market_analyst', 'action': 'analyze_market', 'resource': 'market_data'},
    {'agent_id': 'competitor_analyst', 'action': 'access_data', 'resource': 'competitor_pricing'},
    {'agent_id': 'pricing_strategist', 'action': 'create_pricing', 'strategy': 'below_market'}
]
conflicts = conflict_detector.detect(agent_actions)

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Step 4: Generating Resolutions

Resolve detected conflicts:

if conflicts:
    resolutions = resolution_engine.generate_resolutions(conflicts)
    for resolution in resolutions:
        print(f"Resolution: {resolution}")

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Step 5: Applying Resolutions

Communicate resolutions back to agents:

for resolution in resolutions:
    agent_id = resolution['agent_id']
    corrective_action = resolution['corrective_action']
    autogen_api.apply_resolution(agent_id, corrective_action)

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Outcome

With OVADARE:

• Agents collaborate effectively without violating defined policies.
• Sales strategy development proceeds without delays.
• Conflicts are detected early and resolved efficiently.

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Next Steps

• Learn how to define custom policies in Define Custom Policies.
• Explore Conflict Detection for deeper insights.