A manual quote for a single 20 kW commercial solar project can take approximately three hours once supplier outreach, callbacks, quote reconciliation, and stock checks are included. At a procurement labor rate of $35 per hour, that is $105 in internal cost for one project. At 15 projects per month, the same process consumes 45 hours and represents $1,575 in labor before the first purchase order is placed.
That time is only part of the comparison. Manual quoting can also leave price differences hidden in inboxes, spreadsheets, or supplier conversations that happened after the buyer made a decision. The relevant question is not simply whether AI can produce a quote faster. It is whether a procurement team can compare the available options consistently, account for lead times, and still keep a person responsible for the final choice.
How manual quoting works in practice
For a typical project, a procurement lead starts with a bill of materials, then contacts three to five distributors by email or phone. The requests may cover modules, inverters, racking, batteries, or other balance-of-system equipment. Each supplier may respond in a different format, with different assumptions about freight, available quantities, substitutions, and delivery dates.
The process usually follows this sequence:
- Review the project requirements and identify acceptable product options.
- Contact three to five distributors and request current pricing and availability.
- Wait for replies, callbacks, or updated inventory information.
- Enter the responses into a spreadsheet or purchasing system.
- Check whether each supplier can cover the required quantities.
- Compare price, lead time, freight, and product specifications.
- Resolve missing information and select an option for approval.
For a small team, this takes roughly two to four hours per project. Three hours is a plausible working average when the equipment is relatively standard and the buyer already knows which distributors to contact. A difficult project can take longer if a supplier has partial stock, if a product is backordered, or if the team needs to negotiate a substitution.
Manual quoting is not necessarily careless. A capable procurement lead can make a sound decision using this process. The problem is that the comparison depends on who was contacted, who answered, when the information arrived, and how carefully the responses were normalized. Two buyers working from the same project requirements may reach different conclusions because they searched different parts of the market.
Where the price difference appears
Comparable solar equipment can carry different prices across distributors at the same time. As an illustrative market range, the spread may be 5 to 20 percent across comparable products from different distributors. For panels and inverters within one market region, an 8 to 15 percent spread is a reasonable illustrative range, although the actual difference depends on product availability, order quantity, freight, and supplier relationships.
Consider a synthetic example for a project with an equipment subtotal of $28,000. A representative comparison across four distributors might show the following:
- Distributor A: $28,000, with full quantity available in five business days.
- Distributor B: $25,760, with full quantity available in 10 business days.
- Distributor C: $27,300, with 70 percent available now and the remainder in three weeks.
- Distributor D: $26,600, with full quantity available in seven business days.
The lowest quoted price is about 8 percent below Distributor A’s price, but it is not automatically the right choice. If the project schedule requires delivery within one week, Distributor D may be preferable. If the buyer can wait, Distributor B may merit consideration. Distributor C may create a split-delivery problem that costs more in coordination or delays installation.
Manual quoting can identify this spread, but only if the buyer reaches all four distributors, receives timely responses, records the information accurately, and compares the quotes before one expires or inventory changes. When the team is handling 15 projects a month, repeating that exercise creates many opportunities to miss a lower price or overlook a stock constraint.
The figures above are illustrative, not a savings claim for Sun Store or its customers. They show what a comparison can reveal: the cost of a procurement decision may be affected by the gap between supplier options, not just by the first quote that arrives.
What changes when AI runs the comparison
Sun Store’s AI comparison process starts with connected supplier sources rather than a procurement lead manually rebuilding the market view for every project. It pulls quoted prices and stock levels from those sources, organizes the available product options, and ranks them using a combined price and lead-time score.
The output is a ranked order plan. Instead of a spreadsheet containing four separate responses, the procurement team sees the available options in a consistent order, with the relevant tradeoff between cost and timing visible. A buyer can review which option is cheapest, which option is fastest, and which option offers a reasonable balance between the two.
Using the illustrative project above, the system would not simply label Distributor B as the winner because it has the lowest price. Its ranking would account for the 10 business day lead time. Distributor D could rank higher if the project deadline makes a seven day delivery materially more useful. Distributor C could rank lower because partial availability introduces an additional fulfillment issue.
This changes the work in two ways. First, the team spends less time collecting and normalizing responses. Second, every project can be evaluated against the same comparison logic. The team is less dependent on memory, inbox searches, or the individual habits of one procurement lead.
The time difference is easiest to see in the synthetic installer scenario. Imagine a growing installer running 15 projects per month. Its procurement lead currently spends three hours per project on quoting, or 45 hours each month. If connected supplier information is available for those projects, the team can shift from repeated data collection toward reviewing ranked options and resolving exceptions. The exact time reduction will vary by project complexity and supplier coverage. It should be measured in the team’s own workflow rather than assumed in advance.
What humans still do
Sun Store does not place orders automatically. The procurement team reviews the ranked plan and approves or adjusts it before anything is ordered. That review is important because the lowest combined score may not reflect every operational consideration.
People still decide whether a substitute is acceptable, whether a delivery date fits the installation schedule, and whether a supplier relationship justifies a different choice. They can account for information that may not be represented in the connected sources, such as a promised allocation, a freight concern, a customer preference, or a project manager’s latest schedule change.
Human review also provides a control point for unusual results. If a price is unexpectedly low, the buyer can confirm the quote and its conditions. If the ranked option depends on a product that the engineering team does not approve, the buyer can adjust the plan. If the project has a narrow delivery window, the team can prioritize certainty over a modest price difference.
The boundary is straightforward: Sun Store can organize and rank the supplier information it receives, but it cannot make an unavailable supplier responsive, guarantee inventory beyond the connected source, or replace project-specific purchasing judgment. The quality of the comparison depends on the supplier data available and the requirements entered for the project.
When manual quoting is still fine
Manual quoting remains reasonable in several situations. A company handling very low project volume may not spend enough time quoting to justify a dedicated comparison workflow. If an installer has a deep relationship with one distributor, receives dependable pricing, and rarely needs to check alternatives, contacting several suppliers may add little value.
Manual work can also be the better fit for non-standard equipment that requires negotiation or technical discussion. A custom battery configuration, unusual mounting condition, or special commercial requirement may not map cleanly to a ranked product list. In those cases, a buyer may need a conversation with a distributor, manufacturer, or engineer before the options can be compared.
The practical test is frequency and variation. If the team regularly contacts multiple suppliers for standard equipment, repeats the same reconciliation work, and handles enough projects for missed price differences to matter, automated comparison becomes more useful. If the work is infrequent or highly bespoke, manual expertise may remain the more efficient approach.
That is the comparison Sun Store runs for every project. Request access at gosunstore.com to see it in your workflow.
The important procurement change is not that a person disappears from the process. It is that the person making the decision has consistent access to the full price spread, so the best option is not missed simply because one supplier answered first.