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AI RFQ automation · Inbox-native · Catalog-aware

Turn email RFQs into ready-to-send offers.

Connect your RFQ inbox to PharmaceuticalBank. We read each RFQ email, extract every requested product, match it against your catalog and generate a structured draft proposal with match rate and gaps — ready for your team to review and send.

See how the RFQ flow works Start instant demo
📥 Inbox → RFQ engine in one step 🧠 AI product extraction & quality checks 📊 Match rate, gaps & draft proposals
RFQ Dashboard
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Inbox-to-RFQ demo

Forward your RFQ. Get a cleaned draft back in ~60 seconds.

Too busy for a full demo? Send us one of your real RFQs and see how Pharmaceutical Bank structures it, maps it to your product catalog and prepares a draft you can review.

Send any RFQ or product list to
@ demo@pharmaceuticalbank.com
  • 1
    Forward your last RFQ email
    No forms, no login. Just forward an RFQ or product list you already send to suppliers.
  • 2
    We parse & match to your catalog
    Our RFQ engine structures your lines and tries to map them to your product catalog (SKU, EAN, internal codes), highlighting new or unmatched items.
  • 3
    You receive a draft + review list
    Within about a minute you get a reply with a cleaned RFQ draft and a product list you can verify line by line. In the full version, you click each product in the RFQ report to confirm or adjust mapping.
i Demo only – we don't send anything to your suppliers. Please don't include patient data or personal identifiers.
What happens at each step Hover or tap a step
Step 1 – We receive your raw RFQ email
• We read the subject and body of the email you forwarded.
• Line by line, we look for product names, strengths, packs and quantities.
• In the demo we focus on the email text; in the full product we can also process structured attachments.
You don't need to change your format – just send what you already send to suppliers.
Step 2 – RFQ engine parses & matches your catalog
• Each line is split into product, form, strength, pack, quantity.
• When your product catalog is connected (CSV import, ERP export, manual list), we try to map every RFQ line to your internal SKU/EAN.
• We classify lines as Exact match, Close match or New product.
Example:
"Product A 500mg tabs 20x10 5000"
→ Product A · 500 mg tab · 20×10 · 5,000 packs
→ Matched with internal code: SKU-102938
Unmatched or doubtful lines are kept visible so you can quickly review them instead of hunting through Excel.
Step 3 – Clean RFQ draft + clickable review list
• We build a professional RFQ email you can send to suppliers.
• Under that RFQ, we keep a structured product list that is tied to your catalog.
• In the full platform you can click on each line to verify or change the mapping before sending.
Reviewable RFQ lines

✓ Product A 500 mg tab · SKU-102938 · 5,000 packs
✓ Product B inj. 1g · SKU-204411 · 2,000 packs
! Product C syrup 100 ml · No catalog match yet
You stay in control: you confirm each line from the RFQ report below the email draft before it goes out to your supplier list.
In the full version, RFQs are linked to your live product catalog with a clickable review list under each RFQ. Book full RFQ demo →

What you get from every RFQ email

Each RFQ becomes a structured sourcing event: extracted products, matches vs. your catalog, gaps and a proposal-ready payload.

Matched products · Catalog SKUs found for clearly extracted lines Unmatched but extracted · Clean requests with no catalog hit (sourcing opportunities) Unclear / low quality · Lines filtered out as generic or ambiguous
Logged per RFQ: total lines · matched vs unmatched · unclear lines · extraction quality score · processing time.

Time saved by automating RFQ emails

Slide to your typical RFQ volume. We assume that manually handling one RFQ with around 3–10 products (copying from email, cleaning, matching to catalog, preparing a draft) takes about 22 minutes. With Pharmaceutical Bank, we target around 3 minutes per RFQ (review & tweaks only, for RFQs with up to 500 products).

40 /week
Adjust to your own team (single buyer, shared mailbox, region, etc.).

Weekly impact

You save 12.7 h every week

At 40 RFQs per week:

Manual handling: 14.7 h
With Pharmaceutical Bank: 2.0 h

Annual impact

If you keep this RFQ volume:

Per month (4 weeks): 50.7 h
Per year (48 weeks): 608 h
≈ full 8 h workdays: 76 days
Inbox Automation

Turn RFQ emails into structured requests

Capture full email bodies (HTML + text), clean signatures and banners, and split long messages into chunks that the AI can process reliably.

AI Extraction

Detect every product line in free text

AI reads the RFQ like a human: finds product names, strengths, forms and multi-ingredient combinations, even if they are buried inside paragraphs or inline lists.

Quality Checks

Filter noisy lines before catalog search

Drop generic terms (“antibiotics”, “vitamins”) and short ambiguous strings, and score each extracted line so only high-quality products go to matching.

Catalog Matching

Match products against your own SKUs

Each clean product line becomes a search query into your catalog. We score candidates and attach the best product IDs and titles or mark the request as unmatched.

Gap Analytics

See matched, unmatched & unclear at a glance

Track match rate per RFQ, list clearly requested but unmatched products, and log the extraction issues for continuous workflow improvement.

Draft Proposals

Create reply-ready draft payloads

Merge duplicates into one canonical product, attach matched & unmatched lists, and generate a draft payload that your quoting engine or email integration can turn into a reply.

RFQ Tool — How the workflow runs behind the scenes

Every RFQ passes the same pipeline: capture → AI extraction → quality checks → catalog matching → analytics → draft proposal.

1

Connect your RFQ inbox

Link a shared mailbox (or forward RFQs) so new requests are automatically picked up by the engine.

2

Capture & normalise the email

The engine pulls the full email body, removes banners/signatures and splits very long RFQs into manageable chunks.

3

AI extracts product lines

AI reads the chunks and builds a structured list of all requested products, including multi-ingredient combinations.

4

Filter noise & match to catalog

Generic/unclear lines are filtered, and the remaining products are matched against your catalog with scores.

5

Compute analytics & clean list

Duplicates are merged into a canonical product line and statistics are calculated for match rate and gaps.

6

Create draft proposal payload

The system packages matched items, unmatched requests, quality log and email thread metadata into a draft payload.

From inbox to offer in seconds: Our RFQ automation parses incoming emails, cleans product lists, matches them to your catalog, and prepares a structured Gmail reply draft — with match metrics and a review panel for unmatched products.

What happens if the email has no valid products? +
If the engine cannot confidently extract any products, it does not create a noisy draft. The RFQ is logged with a “no products found” status and full error details so you can inspect or forward it manually.
Can I see why certain lines were rejected or not matched? +
Yes. For each RFQ we keep: extracted lines, lines filtered out as generic/unclear, matched products with IDs, and clearly requested but unmatched items. This makes it easy to understand gaps and improve your catalog.
Where does the draft proposal appear? +
The workflow ends with a structured draft payload that you can plug into your RFQ panel, ERP or Gmail/Outlook integration. The email reply is prepared for the same thread using original subject & message IDs.

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Short, practical emails on how wholesalers and distributors use PharmaceuticalBank to turn RFQ emails into structured data, faster quotes and better sourcing decisions.

  • New RFQ & product sourcing features
  • Ideas for connecting inbox, catalog and pricing
  • Real examples (anonymised) from the market
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© PharmaceuticalBank — RFQ automation & product sourcing engine. Inbox in, draft offers out.

Pharmaceutical Bank

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Inbox in. Structured RFQs out. Faster quotes, fewer gaps.

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