Retail Industry Solution

Autonomous Dynamic Pricing Engine

Static pricing models fail to capture margin opportunities in highly competitive, fast-moving e-commerce scenarios. Focus20 builds autonomous AI engines that continually evaluate competitor pricing fluctuations, historical demand elasticity, and current supply limits to dynamically tune your storefront.

View Architecture See Implementation Timeline

Business Value

Protecting Gross Margin

A multi-agent pricing defense mechanism can respond to aggressive flash-sales from competitors without triggering a margin-destroying race to the bottom, keeping your profitability intact while defending market share.

22%

Higher Promos Gross Margin

Real-Time

Storefront Synchronization

The Agentic Workflow

1. Agentic Stack

Scraping Agent: Apify Actor / Puppeteer.
Elasticity Agent: SageMaker pricing model.
Orchestrator: AWS Step Functions, with Claude reasoning over MCP-exposed tools.

2. Reasoning Loop (ReAct)

> Agent spots competitor price drop
> Calculates new margin cross-elasticity
> Reasons: "If we drop price, we lose 15% margin; instead, bundle with overstocked item X"
> Automatically pushes bundle to Shopify via GraphQL API

Enterprise Technical Architecture

Designed for rapid iteration and instantaneous sync with global e-commerce systems.

Microservices & GraphQL

Data Integration: Serverless scraping tasks run independently via AWS Fargate containers.
Real-time Rules: Amazon ElastiCache (Redis) evaluates logic and caching at microsecond speeds.
Decision Logic: Multi-agent negotiation balancing maximum profit margin against volume throughput.
Execution: Headless GraphQL API mutators syncing directly to Shopify Plus or Magento backends.

Cloud Migration Highlight

Migrated a massive monolith Magento stack from Azure VMs to an AWS auto-scaling containerized environment, improving Black Friday peak load handling by 4x without downtime.

graph TD COMP["Competitor Sync
AWS Fargate"] --> K[Kinesis Stream] INV[ERP Inventory] --> K K --> RED[(ElastiCache Redis)] RED --- AG[Pricing Engine Agent] AG -->|Approve Change| API[API Gateway] API --> ECOM[E-Commerce Storefront]

Deployment Timeline

Achieving elasticity in price and infrastructure.

Phase 1: Weeks 1 - 2

Data Engineering

Establish AWS Fargate clusters to safely ingest competitor data into Kinesis streams. Begin aggregating historical ERP inventory data to map product elasticity graphs.

Phase 2: Weeks 3 - 6

Logic & Approval Matrix

The Pricing Engine connects via ElastiCache. It begins suggesting price tuning actions delivered daily via dashboard or email for e-commerce managers to manually 'Approve' or 'Reject', dialing in the system's margin constraints.

Phase 3: Weeks 7 - 10

Fully Dynamic Storefront

Direct GraphQL integration with the storefront CMS (Shopify/Magento). The Agent dynamically creates complex bundles or markdown sales to counter competitor surges instantaneously over weekends and holidays.

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