← Thursday's Architecture

Try Dynamic Pricing Engine 🎮

Interactive demo - See Mon-Thu strategy come alive

September 5, 2025
💰 Pricing Strategy🎮 Interactive📊 Real-Time Analytics

From pricing prompts to intelligent optimization engine. Now try it.

Monday: learned 3 pricing prompts (psychological, competitive, value-based). Tuesday: automated real-time monitoring. Wednesday: saw team workflows across 4 roles. Thursday: reviewed the architecture. Friday: try the actual system. Input your product, watch competitor tracking, run pricing experiments, toggle between role views.

Try Different Scenarios

Or Select Complexity Level

💰 ROI & Cost Savings Calculator

Adjust sliders to see potential savings for your team. Calculate how much time and money dynamic pricing automation saves vs manual analysis.

5 people

Number of people on pricing/strategy team

$90,000

Average annual salary (analysts, product managers)

8 hrs/week

Hours per week team spends on manual pricing analysis

75%

Expected time savings with automation (typical: 70-80%)

Annual Savings

$67,500

Per year with automation

Payback Period

8.9 mo

Time to recover investment

Before vs After Comparison

Annual Cost (Before)
75% reduction

Before

$90,000

After

$22,500

Time Spent (Before)
75% improvement

Before

2,080 hrs

After

520 hrs

Team Productivity
38% improvement

Before

100%

After

138%

Annual Savings
Infinity% improvement

Before

$0

After

$67,500

Time Saved
Infinity% improvement

Before

0 hrs

After

1,560 hrs

ROI Summary

3-Year Savings:$202,500
5-Year Savings:$337,500
ROI (Year 1):135%

These calculations are estimates based on your inputs. Actual results may vary.

🤖 Watch Multi-Agent Pricing Intelligence System

See how autonomous agents collaborate to optimize pricing in real-time

Example Scenario
Dropbox drops price 20% on Personal 1TB plan. Watch agents detect, analyze, and recommend response.
1
👁️Monitor Agent
Scrapes Dropbox pricing page every 6 hours
→ Detected: Personal 1TB price changed $24.99 → $19.99 (20% drop)
2
⚖️Evaluator Agent
Calculates impact on competitive positioning
→ Alert: Your $14.99 now only $5 cheaper (was $10). Risk: 15-20% customer loss.
3
🧠Planner Agent
Generates 3 response strategies
→ Options: (1) Match at $19.99, (2) Partial match at $16.99, (3) Hold + add features
4
📊Optimizer Agent
Models revenue impact of each strategy
→ Best: Drop to $12.99 (market average). Revenue impact: -$8K short-term, +$15K long-term.
5
🛡️Guardrail Agent
Checks pricing constraints (margin floors, brand positioning)
→ Approved: $12.99 maintains 48% margin (above 40% floor). Brand positioning: OK.
6
🎯Orchestrator Agent
Routes recommendation to exec dashboard + sends Slack alert
→ Exec alert sent. Awaiting approval to execute price change (2-hour SLA).
💡
No human intervention until final approval. Agents detected competitor move, analyzed impact, generated strategies, modeled outcomes, validated constraints, and escalated decision - all autonomously in under 15 minutes.

🛠️ Build Your Own Strategy Workflow

Pick agents from the palette below to build your custom workflow, then simulate execution.

Available Agents (12)

Your Workflow

Add agents above to build your workflow

Try It Now - How to Use This Demo

  1. 1Select a scenario button (SaaS, E-commerce, Course, Competitor Tracking, or Value-Based)
  2. 2Click 'Process Pricing Analysis' to watch AI extract and analyze data
  3. 3See real-time processing: Extract → Analyze → Recommend → Complete
  4. 4Toggle between Analyst / Product / Executive / Operations views (top tabs)
  5. 5Try multiple scenarios to see different pricing strategies in action
  6. 6Check 'Agent Workflow' section to see autonomous decision-making
🚀

Want This Built for Your Business?

This demo shows what's possible. We build production-ready dynamic pricing engines custom to your market, integrated with your systems (Stripe, Shopify, etc.), and tailored to your pricing strategy.