Solution guide · Proposed implementation. The records, examples and acceptance criteria below are illustrative design proposals, not delivered customer systems or measured results.
Treat conversation as clarification, not identification authority
A buyer may know an exact manufacturer part number, remember only a fragment, or describe an application in everyday language. Those are three different search tasks. A distributor assistant should help distinguish them before it recommends anything.
AskShelf documents catalog discovery and product conversations in its feature overview. Applying that pattern to distributor quoting requires additional systems. Account pricing, supplier mappings, RFQ submission and stock checks described here are proposed integrations, not assumed AskShelf capabilities or a delivered distribution case.
The central rule is simple: natural language may help buyers express intent, but a deterministic catalog lookup must establish the item identifier. Similar descriptions can retrieve candidates. They cannot establish interchangeability, contractual price or permission to purchase.
Preserve the original identifier and its namespace
An identifier contract should include submitted text, normalized lookup text, identifier type, issuer or manufacturer, exact-match status, catalog revision and selected internal SKU. Preserve leading zeros and meaningful punctuation. Different suppliers can use overlapping part-number spaces, so the number alone is not always a unique key.
Normalization must be explainable. Trimming outer whitespace is different from deleting an internal hyphen. If a supplier explicitly treats certain separators as equivalent, apply that supplier-specific rule and record it. Otherwise, show candidate matches and ask the buyer to choose.
A GTIN can support trade-item identification, but it is not a technical substitute verdict. The GS1 GTIN Management Standard addresses identification decisions when trade items change. It does not establish a distributor's live inventory or a customer's negotiated price. Keep those facts in their respective systems.
Store discontinued, replaced and unavailable states separately. A discontinued item may still have useful documentation. A replacement relation must come from an approved supplier mapping with direction, applicability and revision, not from a shared phrase in two descriptions.
Make units part of the quote request
| Proposed RFQ record | Fields to preserve |
|---|---|
| Item identity | Internal SKU, manufacturer part number, optional GTIN, item revision and source revision |
| Quantity basis | Requested quantity/unit, selling unit and units per pack |
| Delivery and constraints | Required delivery date, unresolved constraints and the buyer's original request as a separate field |
| Envelope | Request ID, authenticated account reference where applicable, contact purpose, creation time, submission state and owning sales queue |
A line that lacks a selling unit is incomplete. The assistant should ask whether “ten” means ten pieces, ten packs or ten metres before preparing a submission.
Where conversions are allowed, calculate them in validated application logic. If packs contain twelve pieces, a request for twenty pieces does not automatically authorize rounding to twenty-four. Present the available selling quantity and let the buyer review it. Minimum order quantities and split-pack permissions must come from current commercial rules. These quantities are illustrative examples, not customer order records.
Keep quote requested, quote offered and purchase ordered as distinct states. A successful RFQ submission means sales received a request. It is not acceptance of price, delivery, payment terms or an order commitment.
An illustrative suffix-and-pack failure
Consider fictional identifiers 0047-A and 0047-AK. The first is a single component; the second is a kit containing different contents. A buyer types “47 AK, need 6,” and the search system strips zeros and suffixes to improve recall. It returns the single component and assumes six individual pieces.
The proposed flow retains the original query, detects that no approved exact normalization resolves it, and presents both candidates with their full identifiers and selling units. The buyer selects the kit. The assistant then asks whether the requested quantity is six kits and displays the kit contents from approved documentation.
If the buyer instead asks whether the single component can replace the kit, the system cannot answer from name similarity. It should request the relevant application constraints and route the substitution question to an authorized technical reviewer. The RFQ can preserve the unresolved question, but it must not disguise it as a verified equivalence.
Keep account data behind server-side checks
Public catalog search and private customer pricing belong in different trust zones. Access to an account must be established by the authenticated application session, not by a visitor saying a company name or supplying another customer's quote number.
Every price, quote and account object needs server-side permission checks. This responds to the object-access problem described in OWASP's API security guidance. Model instructions are not a substitute for those checks.
A proposed pricing response should include item, account scope, currency, quantity basis, applicable charges, validity and source timestamp. If the pricing service fails, show that no current account quote is available. Do not fall back to another account's cached result or present a public list price as the buyer's agreed price.
Design reliable submission and recovery
Before sending an RFQ, display a review screen with line identifiers, quantities, units, delivery requests and open questions. Explain where the request goes and which contact information will be shared. Only submit after the buyer takes the intended submission action.
Use a request key to prevent a repeated click from creating duplicate RFQs. Persist the submission attempt and distinguish a confirmed receipt from an uncertain timeout. If the downstream service may have accepted the request, check its status before retrying. “We could not confirm receipt” is more accurate than either “failed” or “sent” when the result is unknown.
Sales needs a usable record, not a transcript dump. Include the approved line data, unresolved constraints and source references. Limit conversational history to what is necessary for the enquiry, and define access and retention with the distributor.
Test the failure paths before measuring convenience
Build a reference set covering leading zeros, ambiguous suffixes, identical descriptions, different pack sizes, withdrawn items and supplier-specific identifiers. Have catalog and sales staff approve the expected outputs. Test multilingual quantity phrases and voice recognition errors independently from identifier matching.
Measure exact-item selection, unit extraction, unresolved-question retention and RFQ field accuracy. Run cross-account access tests, stale-price tests and repeated-submission tests. A wrong-item quote request or private-price exposure should block release until corrected, regardless of average search satisfaction.
A useful first release may support only one supplier and a narrow set of selling units. Expand after the team can inspect errors and maintain mappings. The goal is a reliable sales handoff, not an unsupported claim that every purchasing workflow can be automated.
Review Datahase's integration services, then discuss a distributor pilot. Bring sample identifiers, pack rules, RFQ fields and account-access requirements. Those concrete records expose the engineering scope far better than a generic request for a catalog chatbot.
Product foundation and implementation boundary
The AskShelf owned-product study follows its documented catalog, QR, mobile-page and browser-voice workflow. That retail pattern informs these proposals; it does not establish the domain-specific records, authoritative matching, approvals or integrations described here. Those require additional engineering and operational ownership. Public documentation is not an independent product test, a performance guarantee or evidence of a delivered sector system.
Sources and applicability
Public sources checked 5 November 2026: the linked AskShelf workflow and feature documentation, plus GS1 GTIN Management Standard and OWASP API1:2023, used for identification/change decisions and object-level authorization respectively. Implementation suitability and proposed release gates require their own review and testing.