Advanced Configure Price Quote Engine

The problem

Quoting stops being simple the moment your price list stops being a flat number. A salesperson opens a Deal in Zoho CRM, adds a few Products, and then has to work out the volume break, the partner discount, the regional uplift, the bundled service line, and whether the resulting margin is something the finance team will actually sign off on. Native Price Books and the standard Quote layout handle a single price per product per book. They do not handle "25 units or more moves the customer to tier 3, but only if the contract is annual, and the installation line is 20 percent of the hardware subtotal, and nobody below Sales Manager can approve anything under 22 percent gross margin."

So the rules live in a spreadsheet. The spreadsheet is emailed around, forked, and quietly edited. Quotes go out with the wrong numbers, discounts get approved after the customer has already seen them, and the margin report at the end of the quarter is a reconstruction exercise rather than a record.

What ECOSIRE builds

ECOSIRE builds a configure-price-quote engine that runs inside your own Zoho org and encodes your actual commercial rules as executable logic — not as documentation.

Rule-driven pricing on the Quote and Deal

We implement a pricing rule set as Deluge custom functions invoked from the Quotes and Deals modules. Rules are stored in a custom module (typically Pricing_Rules) so your commercial team can maintain thresholds, effective dates and tier boundaries as records rather than as code. The engine evaluates volume tiers, customer-segment rates, contract-term multipliers, currency-specific uplifts and floor prices in a defined precedence order, then writes the resolved values back into the Quoted Items subform along with a per-line audit of which rule fired.

Product bundles and guided configuration

Bundles are modelled as parent-child relationships between Products records with quantity ratios and optional/mandatory flags. A Sigma widget embedded on the Quote layout gives the salesperson a guided configurator: pick a bundle, answer the qualifying questions, and the widget composes the line items, applies compatibility rules that block invalid combinations, and posts the result to the Quoted Items subform through the Zoho CRM REST API. Attribute-based configuration (size, term, seat count, region) drives both the line composition and the price lookup.

Margin floors and approval thresholds

Every line carries a cost basis — pulled from a cost field on the Products record, from a Zoho Inventory item, or from a rate card in a custom module — so the engine computes line and quote-level gross margin in real time. When a discount crosses a threshold or margin falls below a floor, the quote is routed through an approval chain built on CRM Blueprint and Approval Processes, with the approver tier selected by how far the deal is out of policy. Approvals, rejections and the numbers as they stood at the moment of decision are written to a custom approval-history module.

Downstream continuity

An approved quote converts cleanly. Zoho Flow and Deluge integration tasks push the accepted configuration to Zoho Books as a Sales Order or Invoice against the correct Books organization, respecting your item mapping, tax treatment (GST, VAT or sales tax as applicable to your Books setup) and the item-level cost you priced against. Where inventory is involved, the same flow reserves or allocates against Zoho Inventory items so a sold bundle does not quietly oversell stock.

Quote versioning and comparison

Revisions are captured as versioned records rather than overwrites, so you can show a customer option A against option B, and so you can later answer the question of what changed between revision 3 and revision 5, and who changed it.

Who this is for

This suits organisations quoting configurable products or services out of Zoho CRM where price is a function of several variables at once: manufacturers and distributors with volume and channel tiers, SaaS and subscription businesses with seat and term pricing, professional services firms quoting blended day rates against a delivery estimate, and any team where a discount above a certain point genuinely needs a second signature.

It is not a good fit if you sell a short catalogue at one fixed price each — native Price Books already do that well, and we will tell you so on the scoping call rather than sell you an engine you do not need.

How delivery works

This is a build-to-order engagement. Nothing is downloaded and switched on; the app is constructed against your rules.

1. Scoping call. We walk your current quoting process end to end — the spreadsheet, the exceptions, the approval hierarchy, the cost basis, the Books and Inventory setup, and which Zoho edition you run. We ask for two or three real quotes, including one that was difficult.

2. Fixed quote. You receive a written scope covering the rule model, the configurator behaviour, the approval matrix, the Books and Inventory handoff, and a fixed price with a delivery date. Anything outside that scope is priced separately and openly.

3. Build. Typical lead time is two to four weeks depending on rule complexity. Development happens against a sandbox or a dedicated test environment, and you see the pricing model working on your own product data before it is anywhere near your live org.

4. Install in test, then production. We install into your test environment first, run your real quotes through it, and reconcile the engine's output against the numbers your team would have produced by hand. Discrepancies are resolved before go-live. Production installation happens on an agreed date with a documented rollback path.

5. Support. Go-live is followed by a support window covering defects, rule adjustments as edge cases surface, and handover training for both the sales team using the configurator and the administrator maintaining the rule records.

You keep full visibility of the Deluge source, the module schema and the widget code. It runs in your org, under your admin control, and you are free to maintain it yourself afterwards.