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README copy edits: trim 'in one breath' / 'three things'; soften cost claim to 'significant'

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  1. README.md +3 -3
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@@ -30,7 +30,7 @@ tags:
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  > that runs on hardware you own β€” built entirely on **open models ≀32B**, with **OpenBMB
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  > MiniCPM** as the load-bearing model (and fine-tuned for the domain).
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- ## πŸ’‘ The idea (in one breath)
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  Retail back-offices drown in paperwork and report requests. **ERP-DocIQ** is an open-source,
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  UiPath-style assistant that **reads your documents**, **answers questions about your ERP in
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  plain English**, and **automates the boring clicks** β€” all on small models, no per-robot
@@ -44,7 +44,7 @@ fine-tune), and **slow to change** (new layouts wait on a closed retraining tool
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  of that, every "what did we spend in Q2?" becomes a **BI ticket**. They wanted an AI-native,
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  open, cheaper alternative they control.
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- ## πŸ› οΈ The solution approach β€” three things, one Gradio app
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  1. **Read any document (OCR + IDP).** A hybrid pipeline β€” OCR β†’ classify β†’ extract β†’ normalize β†’
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  enrich (RAG) β†’ validate β†’ post / human-review β€” reads orders, receipts, invoices, contracts
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  and complex multi-layer forms, **even messy scans/photos**, into structured ERP records.
@@ -80,7 +80,7 @@ knowledgebase (`results/erp_sft.jsonl`):
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  execution. See `results/erp_finetune_report.json`.
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  ## πŸ“ˆ Benefits / value delivered
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- - **70%+ lower inference cost** vs per-document RPA licensing (model routing + prompt caching).
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  - **No vendor lock-in, data stays on-prem** β€” open weights you can run, read and fine-tune.
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  - **Self-service ERP analytics** (NLQ) deflects routine BI/report tickets off the queue.
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  - **Reads documents classic OCR can't** β€” MiniCPM-V cuts character error **~5.6Γ— vs Tesseract**
 
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  > that runs on hardware you own β€” built entirely on **open models ≀32B**, with **OpenBMB
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  > MiniCPM** as the load-bearing model (and fine-tuned for the domain).
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+ ## πŸ’‘ The idea
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  Retail back-offices drown in paperwork and report requests. **ERP-DocIQ** is an open-source,
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  UiPath-style assistant that **reads your documents**, **answers questions about your ERP in
36
  plain English**, and **automates the boring clicks** β€” all on small models, no per-robot
 
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  of that, every "what did we spend in Q2?" becomes a **BI ticket**. They wanted an AI-native,
45
  open, cheaper alternative they control.
46
 
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+ ## πŸ› οΈ The solution approach β€” one Gradio app
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  1. **Read any document (OCR + IDP).** A hybrid pipeline β€” OCR β†’ classify β†’ extract β†’ normalize β†’
49
  enrich (RAG) β†’ validate β†’ post / human-review β€” reads orders, receipts, invoices, contracts
50
  and complex multi-layer forms, **even messy scans/photos**, into structured ERP records.
 
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  execution. See `results/erp_finetune_report.json`.
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  ## πŸ“ˆ Benefits / value delivered
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+ - **Significantly lower inference cost** vs per-document RPA licensing (model routing + prompt caching).
84
  - **No vendor lock-in, data stays on-prem** β€” open weights you can run, read and fine-tune.
85
  - **Self-service ERP analytics** (NLQ) deflects routine BI/report tickets off the queue.
86
  - **Reads documents classic OCR can't** β€” MiniCPM-V cuts character error **~5.6Γ— vs Tesseract**