Start
Sheets are useful until the workflow becomes real.
A spreadsheet can map early requirements, owners, and gaps. It struggles once suppliers, attachments, approvals, grants, and versions multiply.
Compare spreadsheets and email
Spreadsheets can start a DPP program. They cannot run the evidence workflow.
The spreadsheet is where many DPP programs begin. Redy is for the moment the program needs supplier participation, source evidence, approvals, reuse, and controlled publication.
Typical approach
Spreadsheets and email
Fast to start and familiar to every team. Under supplier scale, source documents, review decisions, reuse, and DPP versioning become fragile.
Redy approach
Evidence workflow
Redy structures the request, submission, review, approval, and publication chain so supplier evidence can become audit-ready passport data.
Value chain
Missing
Requested
Submitted
Approved
Versioned
Published
What gets covered up
DPP value chain problems do not disappear because the page looks done.
The comparison that matters is not who can render a passport surface. It is who can move uncertain supplier-held evidence into approved, traceable DPP claims.
Scale
Email threads do not become an audit trail.
Supplier answers, source files, comments, and approvals drift across inboxes and shared folders when the workflow is not structured.
Redy
Redy gives the DPP program an operating record.
Missing fields, supplier requests, submitted evidence, reviewer decisions, approved claims, and published versions stay connected.
Hard problems
The hidden work is the product.
DPP value-chain problem
Missing fields need durable ownership and status.
Typical gap
Sheets can track columns, but status often depends on manual updates and disconnected follow-up threads.
Redy native answer
Redy tracks gaps as workflow objects with product context, supplier request state, due dates, and review outcomes.
DPP value-chain problem
Source documents and extracted values drift apart.
Typical gap
Attachments live in folders or email while copied values live in cells, making later review and audit painful.
Redy native answer
Redy keeps source evidence, AI-assisted extraction, normalized values, and reviewer decisions together.
DPP value-chain problem
Approvals need more than comments in a cell.
Typical gap
Review decisions can be buried in notes, chat, email, or version history that was not designed for DPP claims.
Redy native answer
Redy creates explicit claim approval states before values move into passport-ready outputs.
DPP value-chain problem
Supplier reuse is manual.
Typical gap
Suppliers often repeat the same spreadsheet work for every customer, SKU, request, and deadline.
Redy native answer
Redy lets suppliers reuse approved evidence records and respond from a dedicated workspace.
DPP value-chain problem
Publishing controlled DPP versions from sheets is fragile.
Typical gap
The spreadsheet can become a shadow database without consistent provenance, access control, or publication boundaries.
Redy native answer
Redy turns approved claims into versioned DPP outputs with provenance, APIs, webhooks, and resolver-ready records.
Comparison matrix
Compare against the operating chain, not the landing page.
Capability
Spreadsheets and email
Redy
Why it matters
Capability
Early DPP planning
Spreadsheets and email
Fast, familiar, and flexible for prototypes, gap lists, and kickoff workshops.
Redy
Provides structured DPP workflows once the program moves beyond planning.
Why it matters
A spreadsheet is useful for discovery, but it should not become the operating system.
Capability
Supplier requests
Spreadsheets and email
Manual email loops, shared links, and follow-up notes across teams.
Redy
Scoped supplier requests with product context, attachments, status, and free supplier response.
Why it matters
The supplier experience determines how quickly missing evidence becomes usable.
Capability
Evidence integrity
Spreadsheets and email
Copied values can lose their relationship to source documents and reviewer decisions.
Redy
Source files, extracted values, approvals, and actor context remain attached to the claim.
Why it matters
DPP credibility depends on lineage, not just the final field value.
Capability
Reuse
Spreadsheets and email
Copy-paste from past spreadsheets or resend the same request.
Redy
Reusable supplier evidence records reduce repeated work across products and customers.
Why it matters
Supplier-first workflows create network value instead of recurring admin burden.
Capability
Publication
Spreadsheets and email
Exports and page updates require manual control and reconciliation.
Redy
Approved claims feed versioned DPP views, exports, APIs, and webhook events.
Why it matters
Publication should be a controlled workflow result, not a spreadsheet handoff.
Supplier-first difference
Suppliers should not live inside someone else's spreadsheet chase.
Redy treats suppliers as first-class participants. They can respond from a dedicated workspace, attach evidence once, and reuse approved records instead of repeating the same manual work.
See supplier pageSuppliers respond in a workspace built for evidence, not in someone else's spreadsheet.
Files, extracted values, and approval state stay attached to the response.
Reusable evidence makes repeat requests less painful for suppliers.
Manufacturers see which supplier-held fields are missing, submitted, approved, or publishable.
A spreadsheet can hold the answer. It can't prove anyone checked it.
Every cell is a claim with no author, no source, and no version. The day a number gets disputed, the trail ends at 'who edited this?' Redy keeps the supplier, the document, the reviewer, and the approval on every value.