Flexa Smart Retail - AI CoE for E-commerce and Fashion

Flexa Cloud delivers Smart Retail, a governed Hyperautomation and Generative AI Center of Excellence (CoE) purpose-built for e-commerce operators, online marketplaces, D2C brands and fashion retailers. A dedicated multi-functional squad (AI engineers, data scientists, architects, developers and governance leads) operates side by side with the customer to turn catalog sprawl, returns, stockouts and personalization gaps into measurable revenue and margin growth, entirely on AWS-native stack.

• Founded in 2008, AWS Partner specialized in Cloud and disruptive technologies
• Leader in Generative AI in Latin America with 300+ ready-to-use AI solutions on AWS Marketplace (almost 3x the second-placed partner)
• 200+ projects delivered since 2023
• Featured speaker at AWS events in San Francisco and cover story on CIO Review (June 2025)
• First AWS Analyst Roundtable with IDC and Gartner (AWS AR)

In digital commerce, growth hides expensive waste. Catalogs balloon with inconsistent attributes, personalization is stale, returns eat margin, demand forecasting breaks on every launch and shadow AI projects pile up without ROI. The real challenge is not automating more - it is deciding what to automate, how to scale and how to prove its value to the P&L. Our CoE turns chaotic demand into a strategic, governed capability tied to commercial KPIs.

1. Catalog Intelligence and Merchandising Automation - attribute extraction, PDP auto-fill, taxonomy, variant grouping, brand-voice copywriting at scale
2. Customer Intelligence and Segmentation - RFV, LTV, behavioral clusters, churn prediction, propensity for repeat purchase
3. Hyperpersonalization and Recommendations - right product, right customer, right moment across home, PDP, cart, email and retargeting
4. Search, Discovery and Conversion - semantic search, autocomplete, typo tolerance, synonyms, zero-result reduction, margin-aware ranking
5. Demand Forecast, Pricing and Inventory - up to 260 weeks of time-series, price elasticity, dynamic markdown, size-curve for fashion
6. Returns, Sizing and Post-Purchase - size prediction, return reason mining, fraud detection, intelligent support agents and ticket triage
7. Marketing Performance and Data Monetization - attribution across paid and organic, ROAS forecasting, first-party data monetization

• 100% AWS-native architecture combined with open-source tools (Python, Node, Playwright, Puppeteer) where appropriate
• Core services: Amazon Bedrock, Amazon Q and QuickSuite, Agent Core Browser Automation, AWS Step Functions, EventBridge, Lambda, ECS/Fargate, Aurora, DynamoDB, S3, OpenSearch, Personalize, CloudWatch, IAM, Security Hub
• Security, governance and cost observability by design
• Code modernization and migration using Generative AI
• No external vendor lock-in - everything runs inside the customer AWS account

Structured intake, classification, impact analysis, value-based prioritization, execution and Business Value Realization (BVR). A single, transparent, business-oriented queue replaces scattered merchandising, marketing and engineering requests.

• Week 1: Kickoff with the customer technical and commercial team
• Week 2: Discovery of priority business areas and demand review
• Week 3: Initial pipeline mapping and governance
• Week 4: Action plan and engineering roadmap with the customer team

12-month contract with a fixed Flexa squad covering Architecture, Automation, Data Science, Machine Learning, Generative AI, Engineering and Governance. Predictable capacity, controlled cost and continuous value delivery. Non-cumulative hour allocation.

• OLX - AI-assisted auto-fill for listings used by 250k people per day, supporting 5.5M+ ads and lifting field completion rates by up to 10 percent
• Gimba - product catalog registration reduced from 13 to 2 minutes (84 percent faster) with Bedrock, projecting 10 percent more organic search traffic
• Britania - internal IT chatbot Tania resolves 30 to 40 percent of daily tickets, freeing the engineering team
• Meu Bolso em Dia (Febraban and Banco Original) - scalable financial literacy chatbot trained on 15 years of program data

• CFO: measurable ROI per initiative, lower operating cost, controlled AI investment, margin protection on returns and markdowns
• COO: faster merchandising and fulfillment, scale without adding headcount, less rework
• CDO/CMO: standardized data and AI architecture, compliant personalization, less Shadow IT and Shadow AI, first-party data turned into revenue

Hyperautomation stops being chaotic demand and becomes a governed strategic capability that shows up in conversion, AOV, margin and retention.