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    Flexa Smart Retail - AI CoE for Food and Grocery

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    Sold by: Flexa Cloud 
    Governed Hyperautomation and Generative AI Center of Excellence for food and grocery retail - decisions, forecasting, personalization and monetization on AWS-native stack.

    Overview

    Flexa Smart Retail - Intelligence that Transforms

    Flexa Cloud delivers Smart Retail, a governed Hyperautomation and Generative AI Center of Excellence (CoE) focused on food and grocery retailers. A dedicated multi-functional squad (AI engineers, data scientists, architects, developers, and governance leads) operates side by side with the customer to transform demand chaos into measurable business value, entirely on AWS-native stack.

    Why Flexa

    • 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)

    The Problem We Solve

    Automation backlog explodes, initiatives run in silos, shadow AI proliferates and ROI is hard to prove. The real challenge is not automating more - it is deciding what to automate, how to scale and how to capture real value. Our CoE turns hyperautomation from chaotic demand into a strategic, governed capability.

    The 7 Pillars of Smart Retail

    1. Commercial, Inventory and Financial - margin, pricing heatmap across stores, coverage days, ABC curve, supplier scoring
    2. Customer Performance and Clustering - RFV segmentation, LTV, behavioral clusters, churn prediction
    3. Hyperpersonalization - right offer to the right customer at the right time
    4. Logistics and Delivery - route and fulfillment optimization
    5. Customer Service and SAC - intelligent support agents and ticket triage
    6. Forecast and Ideal Stock - up to 260 weeks of time-series modeling
    7. Data Monetization - turning internal data into new revenue streams

    How We Deliver

    • 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, 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

    Operating Model

    Structured intake, classification, impact analysis, value-based prioritization, execution and Business Value Realization (BVR). Prioritization criteria: financial impact, time to value, operational scale, technical complexity and risk/compliance. A single, transparent, business-oriented queue replaces scattered requests.

    Activation (4 weeks)

    • Week 1: Kickoff with the customer technical team
    • Week 2: Discovery of key business areas and demand review
    • Week 3: Mapping of the initial pipeline of governance
    • Week 4: Action plan and engineering roadmap with the customer team

    Commercial Model

    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.

    Outcomes Our Customers Report

    • Britania - internal IT chatbot Tania resolves 30 to 40 percent of daily tickets, freeing the engineering team
    • Gimba - product catalog registration reduced from 13 to 2 minutes (84 percent faster) with Bedrock, projecting 10 percent more organic search traffic
    • Meu Bolso em Dia (Febraban and Banco Original) - scalable financial literacy chatbot trained on 15 years of program data
    • 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

    For CFO, COO and CIO/CDO

    • CFO: measurable ROI, lower operating cost, controlled AI investment
    • COO: faster, more reliable processes, scale without adding headcount, less rework
    • CIO/CDO: standardized architecture, security and compliance, less Shadow IT and Shadow AI

    Hyperautomation stops being chaotic demand and becomes a governed strategic capability.

    Highlights

    • Governed Hyperautomation and GenAI CoE with a dedicated squad operating on the customer AWS account
    • 7 pillars for food and grocery retail: pricing, customer, personalization, logistics, SAC, forecast and data monetization
    • Powered by Amazon Bedrock, Amazon Q, Agent Core, Step Functions, OpenSearch, Aurora and SageMaker with security and governance by design

    Details

    Delivery method

    Deployed on AWS
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