The lowest total is not necessarily the most suitable offer. One may include delivery, another may specify a different quantity, and a third may omit the lead time. An AI procurement assistant can normalise offers while keeping differences and unknowns visible.
Agree comparison rules first
Define mandatory specifications, units, delivery location and timing constraints. A price means little without these conditions. If substitutions are allowed, identify who can approve them.
The assistant extracts terms; established formulas calculate comparable totals. Unknown delivery charges must not be treated as zero. Give missing values explicit states and prepare clarification questions.
Example: three offers for one requirement
In a hypothetical comparison, supplier A quotes per item including delivery, B quotes per pack excluding transport, and C quotes the required quantity with a later delivery date. The assistant reconciles units, flags unknown costs and highlights the timing conflict. It should not declare a winner before material conditions are resolved.
Keep original values in the table so a reviewer can reconstruct the calculation. A manually changed pack conversion needs an explanation and a named reviewer.
A useful executive output
- Comparable items and unconfirmed product mappings. - Conditions that meet requirements or need discussion. - Missing evidence and draft supplier questions. - A concise explanation linked to the original files.
Stop the first phase at a clear boundary
Begin with comparison preparation, without purchasing or corresponding on the company's behalf. Once reviewed examples accumulate, consider request drafts and connections to purchasing systems. Supplier selection and approval of terms remain in the existing approval process. This makes the assistant a practical tool rather than an opaque decision-maker.