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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.

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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 + Bedrock.

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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