Diwo
CatalystCross-industryManufacturing

RFP and Proposal Enhancement — Bid Proposal Optimization

Wednesday evening.

Start free 15-day trialHow Diwo solves it
Ranked in dollars
·
What-if validation
·
Push to ops
01The Problem

Today’s workflow is the bottleneck.

Wednesday evening. Your proposal writer at a major EPC firm is staring at a 200-page road-and-rail RFP that landed this morning, with forty-eight hours on the clock. Somewhere in her document library is every answer she needs — prior winning bids, technical specs, compliance language — but it lives across hundreds of PDFs nobody has time to re-read. The gaps in this response are the difference between winning and losing the contract, and she is going to find them the hard way, one section at a time.
The status quo· typical decision cycle
signal decays
  1. Signal captured
    Models score. Data is fresh.
    Day 1
  2. Dashboard built
    Analyst pulls CSVs, joins sources
    Day 2–3
  3. Review meeting
    Stakeholders ask for context, re-pull
    Day 4
  4. Window has closed
    Signal stale, action wasted
    Day 5+
By the time the action is ready, the window has closed.
5 days between signal and action. The data science team did their job. The operator is still waiting.
02The Approach

How Catalyst handles it.

Catalyst doesn't hand your bid team another document repository. Its Document Intelligence collects and digitizes the product RFP documentation, organizes and tags content for fast retrieval, and lets bid teams ask targeted questions against the full corpus — pulling pertinent contextual information and suggested actions into the response they are writing. A Semantic Knowledge Graph comprehends subtle meanings across the library to supply precise insights, and continuous learning sharpens the recommendations as more proposals move through. It runs as an enterprise-ready, secure, scalable system. The writer is completing the draft, not excavating the library.
Catalyst · Conversation
A
What gaps exist in our current RFP response versus the requirements?
Catalyst · 320ms · sources: 4
Here’s what I found — three drivers explain most of the signal, and I’ve ranked them by impact.
RECOMMENDATION
Take action on the top-ranked driver first.
Expected lift: +12.4% · 6-week window.
See this live

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03Ask

Questions you can ask.

Every case ships with a set of high-leverage prompts — the shortlist operators reach for every week. Here are the ones we see working for rfp and proposal enhancement — bid proposal optimization.
Anchor question
01 · start here
What gaps exist in our current RFP response versus the requirements?
02
Which past proposals contain the most relevant language for this RFP section?
03
What requirements in this RFP are most commonly missed by competitors?
04
How do our proposed terms compare against prior successful bids?
05
What supporting evidence from our document library strengthens this answer?
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