Specification, supplier and quality data read as one. Click any of these.
These are category truths rather than one company's story. None of them names a customer, because none of them needs to.
Information leaves one system as a document, gets modified by a person, and is retyped into the next one. Word documents and PDFs transferred into a spreadsheet so the spreadsheet can be manipulated into a load file. Nutrition panels copied by hand out of a formulation system and into a document to build a spec sheet. It works, right up until the person doing it takes a week off.
The specification data you need to run the business is held by your suppliers, arrives as an email attachment, and the internal answer is a person chasing documents. Nobody can say what is still outstanding without asking around.
Somebody creates a spec, attaches the drawing, and then becomes the first approver because that is how it has always worked. The sequence exists as folklore rather than as workflow, and it is different for packaging, ingredients, artwork and finished goods.
A quality non-conformance is opened on the line with the product code blank and the units held unrecorded, and there is no closure loop. It becomes an audit finding months later.
This buyer identifies by stack, so the stack comes first. Nothing here asks you to move.
Including Specright. If it is built on the Salesforce platform, we already administer platforms like it: sandboxes and partial copy refreshes, permission sets and permission set groups, record types, page layouts, flows, Apex, SOQL, Data Loader and deployment tooling are our daily working vocabulary, at scale, in large mature orgs.
SAP, including S/4HANA, and NetSuite. Integration between the resource planning system and the specification system is the single most requested piece of work in this sector, because its absence is what forces the manual step.
Nutrition and formulation databases, regulatory ingredient data providers, plant floor quality systems and scheduling systems.
Packaging analysis software with bidirectional XML transfer, and document generation for specification and dossier export.
Portal entitlement management, supplier document collection, and REST interfaces over a corporate data lake.
SharePoint, OneDrive, Google Drive, Microsoft 365 and Google Workspace, plus meeting transcription, so the decision made in a Tuesday call is searchable next to the specification it was about. Anything else with a documented API is quotable work.
Five sectors, one operating problem. The figures below are published market and regulatory data, not client data.
Formula versions, allergen matrices, label copy, supplier certificates of analysis, and a recall clock. In 2025 the FDA and USDA issued 320 US food recalls and undeclared allergens were the single largest cause at 38.8%. The FSMA 204 Food Traceability Rule compliance date is now 20 July 2028, which is enough time to do this properly and not enough to do it twice.
Specification dossier assembly is a document problem wearing a data problem's clothes. Somebody downloads each specification individually and reassembles them into a dossier, and when that somebody leaves, the capability leaves with them. 71% of consumer goods leaders report adopting AI in at least one function, up from 42% the year before, which means the question in this sector is no longer whether to use it.
Specification data held by suppliers, approval chains that exist as habit, and large mature platform orgs at their limits. 79% of manufacturers are investing in or exploring AI in 2026, up from 64% in 2025, yet only 7% define configuration rules once and reuse them across systems. That gap is the work.
Own brand is where a retailer takes on manufacturer style specification obligations without manufacturer style systems. Supplier data arrives offline, on a form, with no approval gate and no way to see what is outstanding. US store brand sales reached a record $282.8 billion in 2025 at 21.3% dollar share and 23.5% unit share, both all time highs, so this is now a first class operation rather than a side line.
Compliance heavy, seasonal, and run by teams that are thin by design. Approval workflows differ by object type, and a process stops when the person who knows it is in the field. The argument here is continuity when the team is stretched, not headcount reduction.
Specification and supplier data work for quick service restaurant supply, where the same seams appear between the specification platform, the resource planning system and the supplier's own document set.
The pack composes onto the whole ground, the whole spine and six jobs. The baseline underneath it is live in production today. The industry specific part is a first customer build, and the two are badged separately below so nobody has to guess.
Certificates of analysis, supplier specifications, artwork proofs, regulatory dossiers, quality records and the scanned pages inside them. Opened page by page, indexed, summarised and citable to the page.
ShippedAsk which items reference a material, a supplier, an additive or a claim, and get an answer across the whole book rather than one file at a time.
ShippedEvery object copied into a database that belongs to your tenant alone, with count parity verified against the source, refreshed continuously, and nothing ever deleted from the mirror.
ShippedRecords opened with mandatory fields blank. Documents still being chased from a vendor. Approvals sitting in somebody's memory rather than in a queue. Surfaced on the record header rather than found in an audit.
PartialBecause in this sector the specification change is agreed in a call and confirmed in an email thread, and only then does anyone update the system.
PartialEvery write into a source system is staged, whitelisted and approved by a person, and it enforces the calling user's own permissions in that system.
ShippedObjective. Put one governed layer over specification, supplier, quality and correspondence data that currently only meets inside a spreadsheet.
The mirror copies the specification and product records into the customer's own database. The document layer reads every attachment page by page. The assistant answers across all of it and cites the page. Nothing moves and no system is replaced.
Requirement: a national food and beverage manufacturer, a direct client, where thirty-two systems held the data and none of them were talking to one another.
Objective. Produce the technical dossier, the specification sheet and the bill of materials report deterministically from the systems that hold the parts.
The assembler builds the document from the specification records, the supplier documents and the customer's own template, with the source and page behind each element and an approval before it leaves. The capability that currently lives in one person's routine becomes a procedure that survives their departure.
Requirement: a pattern named repeatedly across consumer products and personal care specification work. The assembly capability is ours regardless of who the contracting party on any given engagement is.
Objective. Make the chase list a queue the system maintains rather than a question people ask each other.
Every record where an expected document has not arrived, an approval has not moved, or a mandatory field was left blank at the moment of opening, surfaced continuously and sorted by age. No model call, so it costs nothing to run.
Requirement: a category pattern across building products and food manufacturing, where documents are still being chased from vendors and non conformance records recur with mandatory fields blank and no closure.
Objective. Turn a sequence that exists as folklore into a procedure with the decision points marked.
The system reads how the approval actually runs from the record and correspondence trail, writes it as a runnable procedure, and executes the deterministic parts. Judgement steps route to the responsible person.
Requirement: a category pattern in discrete manufacturing, where the person who creates a specification and attaches the drawing then becomes the first approver because that is how it has always worked.
Six US states hit their packaging extended producer responsibility reporting deadline on 31 May 2026, with California, Colorado and Oregon requiring SKU level and component level packaging data. The EU Packaging and Packaging Waste Regulation applies from 12 August 2026. Neither of those is satisfiable from a spreadsheet and an email thread. Both of them are satisfiable from a specification platform that is complete, current and queryable, which is a different problem from the one most teams are staffed for.
We are not a compliance product and we will not claim to be one. What we do is close the gap between what the platform says and what is actually true, which is the part that makes a submission defensible.
Saying this on the page that is meant to open a new market is deliberate. Do not imply a pack exists.
Direct client relationships. We hold direct relationships in food and beverage manufacturing, personal care, oral and pet care, regulatory ingredients data, fruit genetics and licensing, and fresh produce. Those are our clients, contracted with us.
Platform depth is ours regardless. What is ours either way is the platform capability: administering large mature Salesforce based product data orgs, integrating them with enterprise resource planning systems, building supplier portals and data lake interfaces, and running the deployment discipline that keeps them stable.
What is live in Mayeshal today. The baseline platform: the mirror, the document layer, search, citations, the assistant, the audit log, the cost meter and the approval gates. That is running in production now.
Thirty minutes, on a screen share, on a matter you pick. We connect nothing, install nothing and ask for no credentials to have that conversation. If it is not obviously useful in the first ten minutes, we will tell you so and you get your afternoon back.