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OrderBot Retrieval & Automation Proposal


Slide 1: The Problem: Our Current Order Process Is a Bottleneck

Current Situation: Our highly manual process for handling hardware orders is slowing us down and introducing risk.

Manual Workflow:

flowchart TD
    Start[Email Received] --> ReadEmail[Ops: Read Email & PDF]
    ReadEmail --> CheckSF[Ops: Check Salesforce Account Status]
    CheckSF --> CheckInv[Ops: Check Inventory in GSheets]
    CheckInv --> Decision{Status OK?}
    Decision -- Yes --> DraftEmails[Ops: Draft Emails Customer & Warehouse]
    DraftEmails --> SendEmails[Ops: Send Emails]
    SendEmails --> End[Process Complete]
    Decision -- No --> EmailRep[Ops: Email Sales Rep]
    EmailRep --> Delay[Delay / Wait for Correction]
    Delay --> End
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Key Pain Points:

  • Manual Data Entry: Ops team spends hours reading PDFs and typing data.
  • System Switching: Constant context switching between Email, Salesforce, and Google Sheets.
  • Bottlenecks: Dependency on human availability causes delays, especially during spikes.
  • Error Risk: Fatigue leads to mistakes in inventory checks and data entry.

Slide 2: The Solution: Introducing 'OrderBot', Our Autonomous AI Agent

What is OrderBot? An intelligent agent designed to autonomously handle the entire order lifecycle, functioning as a 24/7 digital team member.

Automated Workflow:

flowchart LR
    Email[New Order Email] --> Agent{OrderBot}
    Agent -->|Parse & Validate| Systems[(SFDC & GSheets)]
    Systems --> Agent
    Agent -->|Decision: OK| Success[Confirm & Fulfill]
    Agent -->|Decision: Issue| Exception[Alert Sales Rep]
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How It Works:

  1. Perceives: Instantly detects emails and extracts data from PDF order forms.
  2. Validates: Checks Salesforce for account status and Google Sheets for real-time inventory.
  3. Decides: Applies business logic to approve orders or flag exceptions.
  4. Acts: Updates systems and sends confirmation emails automatically.

Slide 3: The Business Impact & Recommended Next Steps

Tangible Benefits:

  • Speed: Processing time reduced from ~30 mins to < 5 minutes.
  • Accuracy: Target accuracy of 99.5% with standardized validation.
  • Availability: 24/7 processing, eliminating weekend/overnight backlogs.
  • Staff Focus: Frees up Ops team to focus on complex customer issues and strategic improvements.

Recommended Next Step: Low-Risk Proof of Concept (POC) We propose a "Read-Only" Shadow Mode for 2 weeks:

  • Goal: Validate OrderBot's accuracy without risk.
  • How: OrderBot will process live orders in the background and log its "decisions" without sending emails or updating real data.
  • Review: We will compare OrderBot's logs against the Ops team's actual actions to verify performance before full rollout.

About

virtual job simulations on the Forage platform, and it was incredibly useful to understand what it might be like to participate on an actual job

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