# Sailsrep.ai — Full Content Export > Sailsrep is an AI-powered CPQ (Configure, Price, Quote) platform for B2B sales. It combines a large language model for conversational configuration with a deterministic constraint solver for correctness. Built for manufacturers and complex-product sellers who find Salesforce CPQ, Oracle CPQ, Conga, and SAP CPQ too slow and too expensive to configure. - **Canonical URL**: https://sailsrep.ai - **Last updated**: 2026-04-17 - **Contact**: hello@sailsrep.ai - **Pricing**: from €999 / month (flat platform fee) --- # Product summary Sailsrep delivers four things most traditional CPQ systems struggle with: - **Fast setup** — the AI ingests an existing pricelist or product catalogue, drafts a structured schema, and a human approves it. Most customers go live in under a month instead of the 3–18 months typical for legacy CPQ. - **Conversational configuration** — end-customers and sales reps configure products by chatting. The LLM maps natural-language intent to structured parameters; a constraint solver enforces correctness. - **Interactive proposals** — customers receive a branded, shareable proposal they can explore and modify, not a static PDF. - **Transparent rules** — every decision the system makes is traceable. A product manager can see why a combination was rejected without being a CPQ specialist. Sailsrep is platform-agnostic: it works alongside Salesforce, HubSpot, Pipedrive, SAP S/4HANA, Oracle Cloud, Microsoft Dynamics, or none of the above. --- # Homepage FAQ ### What is Sailsrep? Sailsrep is an AI-powered sales configuration platform that combines large language models with symbolic, rule-based logic. It helps customers, partners, and sales teams understand complex products, receive recommendations, and generate valid configurations. It acts both as a guided selling tool and a configuration engine. ### How is Sailsrep different from traditional CPQ systems? Traditional CPQ systems rely on long implementation projects to encode all product rules upfront. Sailsrep targets up to 10x faster setup through AI-assisted modeling, conversational interfaces instead of static forms, and a balance between flexibility (AI) and correctness (rules). Rather than replacing CPQ entirely, Sailsrep can work as a pre-CPQ layer for guided selling, a standalone configuration engine, or a complementary layer on top of existing CPQ or ERP systems like SAP. ### How does Sailsrep ensure configuration accuracy? Sailsrep combines large language models for recommendations and interaction with a deterministic rule engine (symbolic AI) for validation. AI helps guide and suggest solutions, while the rule engine guarantees that outputs are always correct and consistent. Even though AI is used, final configurations are always validated and reliable. ### What does the user experience look like? Sailsrep supports multiple interfaces: a conversational chat interface, a guided "magic form" that generates structured questions dynamically, and a catalog-style configuration interface. The goal is to make complex products easy to understand and configure, even for non-experts. ### What kind of products is Sailsrep suited for? Sailsrep is designed for configurable, modular products such as industrial equipment (e.g. conveyors, elevators), systems with multiple variants and dependencies, and solutions that require guided selling rather than simple selection. It works best when selling a solution, not just individual components. ### How does Sailsrep handle integration with SAP or other systems? Sailsrep integrates with systems like SAP when needed, extracting only relevant data for sales without replicating entire ERP structures. SAP can still handle detailed engineering, production configuration, BOM, and manufacturing logic. Sailsrep focuses on the sales layer and avoids dependency on external systems to speed up implementation. ### How are configuration rules created and maintained? All configuration logic is stored in a structured, deterministic schema within Sailsrep. Rules and product structures are defined using a modular model (modules and variants), assisted by AI during setup and updates, and reviewed and approved by humans. This allows domain experts, not just developers, to maintain the system over time. ### How long does it take to go live? Most companies go live in under a month. Sailsrep starts with an analysis workshop to understand business goals, define the right level of configuration detail, and identify key product structures and rules. The AI-assisted setup then builds configuration logic automatically, with no spreadsheets, no code, and no dedicated CPQ consultants required. ### Can Sailsrep scale as products evolve? Yes. The system is designed for continuous updates. New variants and modules can be added easily, AI assists in maintaining and extending the model, and human approval ensures quality control. Maintenance is a core design focus, not an afterthought. ### Can Sailsrep be used externally by customers? Yes. Sailsrep can be embedded on a website, used by customers for self-service configuration, or used internally by sales teams. It supports both external digital sales and internal enablement. ### What is the main business value of Sailsrep? Sailsrep delivers faster time to implement configuration, better customer engagement through conversational interfaces, improved sales efficiency and guidance, reduced dependency on complex CPQ projects, and easier maintenance over time. --- # Try Sailsrep (demo) FAQ ### How does the Sailsrep demo work? Enter your product website and email. Sailsrep's AI reads your site, extracts your products, pricing, and configuration rules, then builds a personalised conversational configurator. You receive a working demo tailored to your actual catalogue within an hour. ### How long does it take to set up Sailsrep? Most companies go live in under a month. The AI-assisted setup extracts your product data and builds configuration logic automatically — no spreadsheets, no code, and no dedicated CPQ consultants required. Fine-tuning rules and branding takes days, not months. ### Do I need a credit card to try Sailsrep? No. The demo is completely free with no credit card required. Enter your product website and work email to receive a personalised demo built from your real products. There is no commitment or obligation. ### What happens after I submit my website? Sailsrep's AI reads your product website and drafts a working product model from what it finds there. You receive an email with a link to your personalised demo configurator, typically within an hour. ### Can I use Sailsrep with my existing CRM or ERP? Yes. Sailsrep is API-first and platform-agnostic. It works alongside any CRM (Salesforce, HubSpot, Pipedrive) or ERP system, or independently as a standalone product configuration and quoting engine. ### What types of products does Sailsrep work with? Sailsrep is designed for B2B companies selling configurable products — from modular furniture and industrial equipment to software packages and technical services. If your products have variants, options, dependencies, or pricing rules, Sailsrep can handle them. --- # CPQ Vendor Comparisons ## Sailsrep vs Salesforce CPQ Salesforce CPQ (now part of Revenue Cloud) is the market-leading CPQ solution built on the Salesforce platform. It offers deep CRM integration but comes with significant implementation complexity and cost. - **Implementation time** — Sailsrep: under 1 month. Salesforce CPQ: 3–12 months. - **Starting price** — Sailsrep: €999/month flat. Salesforce CPQ: $75/user/month plus implementation, often $100K–$500K first year. - **AI** — Sailsrep: native AI throughout. Salesforce CPQ: Einstein AI add-on. - **CRM dependency** — Sailsrep: CRM-agnostic. Salesforce CPQ: requires the Salesforce platform. - **Admin requirement** — Sailsrep: self-service. Salesforce CPQ: certified Salesforce admin recommended. Salesforce CPQ is a powerful but heavyweight solution designed for organisations already invested in the Salesforce ecosystem. Sailsrep delivers modern, AI-native CPQ without the platform dependency, long implementation, or enterprise price tag. ### Sailsrep vs Salesforce CPQ — FAQ **How does Sailsrep compare to Salesforce CPQ?** Sailsrep is an AI-native CPQ platform that goes live in under a month at a fraction of the cost. Salesforce CPQ is a CRM-native solution requiring the Salesforce ecosystem, 3–12 months of implementation, and often $100K+ in first-year costs including licenses and consulting. **Do I need Salesforce CRM to use Sailsrep?** No. Sailsrep is platform-agnostic and works independently or alongside any CRM including Salesforce, HubSpot, or Pipedrive. Salesforce CPQ requires the Salesforce platform to function. ## Sailsrep vs Oracle CPQ Oracle CPQ (formerly BigMachines) is an enterprise-grade CPQ platform within the Oracle Cloud suite. Deep ERP integration, complex product modelling, and BML scripting — but significant technical investment. - **Implementation time** — Sailsrep: under 1 month. Oracle CPQ: 6–18 months. - **Starting price** — Sailsrep: €999/month. Oracle CPQ: enterprise pricing, $150+/user/month. - **Scripting** — Sailsrep: no proprietary language. Oracle CPQ: BML scripting required. - **UI** — Sailsrep: modern conversational. Oracle CPQ: traditional form-based. - **Product modelling** — Sailsrep: AI-assisted schema from pricelist. Oracle CPQ: BOM-centric manual modelling. Oracle CPQ serves large enterprises already committed to the Oracle ecosystem. Sailsrep offers a modern, AI-native alternative that's faster to implement, easier to maintain, and accessible at any scale. ### Sailsrep vs Oracle CPQ — FAQ **Does Sailsrep require BML scripting like Oracle CPQ?** No. Sailsrep handles complex product logic through AI-assisted natural language configuration and a constraint solver. There is no proprietary scripting language to learn. **Do I need Oracle ERP to use Sailsrep?** No. Sailsrep is ERP-agnostic and works independently or alongside any ERP system via its API-first architecture. ## Sailsrep vs Tacton CPQ Tacton CPQ specialises in complex manufacturing configurations with a powerful proprietary constraint engine. Widely used in industrial and automotive sectors. - **Implementation time** — Sailsrep: under 1 month. Tacton: 3–9 months. - **Constraint engine** — Sailsrep: deterministic constraint solver. Tacton: proprietary constraint engine. - **3D visualisation** — Sailsrep: via third-party integration. Tacton: built-in. - **Schema setup** — Sailsrep: AI-assisted, minutes. Tacton: manual modelling, weeks. - **Customer-facing UX** — Sailsrep: conversational AI + interactive quotes. Tacton: traditional configurator UI. Tacton is a proven platform for complex manufacturing. Sailsrep brings comparable constraint-solving power through an AI-native interface that's faster to implement and dramatically more accessible. Pick Tacton if native 3D visualisation is non-negotiable; pick Sailsrep otherwise. ### Sailsrep vs Tacton CPQ — FAQ **Does Sailsrep have a constraint solver like Tacton?** Yes. Sailsrep uses a constraint solver for mathematically rigorous constraint satisfaction, wrapped in conversational AI. **Can Sailsrep handle manufacturing product configurations?** Yes. It supports modules, variants, dependencies, and pricing rules. Tacton has deeper built-in 3D; Sailsrep has faster setup and broader accessibility. ## Sailsrep vs Logik.io Logik.io is a headless commerce logic engine acquired by Model N in 2024, focused on connecting configuration logic to eCommerce storefronts. - **Implementation time** — Sailsrep: under 1 month. Logik.io: 4–8 weeks. - **AI approach** — Sailsrep: native AI. Logik.io: rule-based logic engine. - **Starting price** — Sailsrep: €999/month. Logik.io: enterprise pricing. - **Standalone** — Sailsrep: works standalone or with eCommerce. Logik.io: designed as a headless engine for an existing storefront. Where Logik.io excels as a commerce logic engine, Sailsrep provides a complete AI-powered sales experience from configuration to proposal with dramatically faster implementation and transparent pricing. ## Sailsrep vs Conga CPQ Conga CPQ (formerly Apttus) combines CPQ with contract lifecycle management. Known for strong document automation but complex implementation. - **Implementation time** — Sailsrep: under 1 month. Conga: 4–12 months. - **Output** — Sailsrep: interactive branded proposals. Conga: template-based static documents. - **CLM** — Sailsrep: quote-focused. Conga: full contract lifecycle suite. - **Maintenance** — Sailsrep: AI-assisted self-service. Conga: dedicated admin team. Conga excels at document automation and contract lifecycle management. For pure product configuration and interactive quoting, Sailsrep is faster and more focused. ## Sailsrep vs PROS Smart CPQ PROS Smart CPQ focuses on AI-driven dynamic pricing optimisation for B2B enterprises, strongest in airline, hospitality, and distribution verticals. - **Implementation time** — Sailsrep: under 1 month. PROS: 6–12 months. - **Strength** — Sailsrep: conversational configuration + rule-based pricing. PROS: ML-driven dynamic pricing and deal scoring. - **Customer-facing** — Sailsrep: yes, end-customer experiences. PROS: internal sales optimisation tool. - **Rule transparency** — Sailsrep: fully traceable. PROS: black-box ML models. PROS leads in AI-driven pricing optimisation. For product configuration and customer-facing sales experiences, Sailsrep is the more complete and accessible solution. ## Sailsrep vs SAP CPQ SAP CPQ (formerly CallidusCloud) is part of the SAP Customer Experience suite with deep SAP ecosystem integration. - **Implementation time** — Sailsrep: under 1 month. SAP CPQ: 6–18 months. - **Starting price** — Sailsrep: €999/month. SAP CPQ: $100+/user/month plus SI implementation. - **Platform dependency** — Sailsrep: independent. SAP CPQ: best within SAP S/4HANA and SAP Commerce. - **UI** — Sailsrep: modern conversational. SAP CPQ: traditional enterprise. SAP CPQ is the natural choice for organisations deeply invested in the SAP ecosystem. For everyone else, Sailsrep offers faster implementation, better UX, and accessible pricing. --- # Learn Articles ## What is CPQ software? > CPQ software — short for Configure, Price, Quote — is a category of B2B sales tools that helps sellers configure complex, multi-option products, price them correctly, and generate a quote or proposal the customer can sign. CPQ matters whenever a product has variants, dependencies, or pricing rules that are too error-prone for spreadsheets. Modern AI-native CPQ replaces the static forms and rule engines of legacy CPQ with conversational interfaces and AI-assisted setup. ### The three jobs CPQ does - **Configure** — make sure every combination of options is valid. - **Price** — apply the right list price, discount ladder, volume tier, currency, and regional uplift automatically. - **Quote** — produce the customer-facing artefact. ### When a company needs CPQ CPQ earns its keep when products have more than a handful of options, configuration mistakes cause production rework, reps spend hours per quote because pricing lives in a spreadsheet, discount approvals slow deals down, or the business wants to let end-customers self-configure online. ### Legacy CPQ vs AI-native CPQ Traditional CPQ platforms such as Salesforce CPQ, Oracle CPQ, and SAP CPQ were built in the 2000s. They require long implementation (3–18 months) and specialist scripting languages like Oracle's BML or Salesforce Flow. AI-native CPQ like Sailsrep ingests an existing pricelist, extracts structure automatically, and lets a non-technical user refine rules in plain English. Most customers go live in under a month. ## AI CPQ vs rules-based CPQ: what is actually different? > Rules-based CPQ requires a specialist to hand-encode every product rule in a proprietary scripting language before the system can produce a single quote. AI-native CPQ ingests your existing pricelist, extracts the structure automatically, and lets a business user refine rules in plain English. The output is the same — a valid configuration and price — but setup time drops from months to weeks. Three concrete differences: - **Configure by conversation, not by form** — a customer can say "I've got a narrow doorway and I want something elegant" and the configurator asks the follow-up questions a salesperson would ask, narrows toward a real specification, and explains its reasoning along the way. The form still exists for customers who prefer it, but it is no longer the only interface. - **Model the product the same way** — describe the product in plain language, upload a spec sheet, paste a pricelist, and the tool drafts a structured schema with you. Every version is comparable and rollback-able. What used to take a specialist months takes an afternoon. - **Guardrails that actually hold** — natural language sits on top, a symbolic rule layer sits underneath. Sailsrep uses the LLM only for interaction and delegates correctness to a deterministic constraint solver. The LLM cannot produce an invalid configuration because it never decides what is valid; the solver does. Customers get a conversation; engineering gets guarantees. ## CPQ buyer's guide 2026 > For most B2B companies shortlisting CPQ in 2026, three criteria decide the outcome: how fast the system goes live, who can edit rules once it is live, and what the five-year total cost of ownership looks like. ### Pricing ranges (2026) - **Legacy enterprise** (Salesforce CPQ, Oracle CPQ, SAP CPQ): $75–$150 per user per month for licences, plus $50,000–$500,000 first-year implementation. - **Mid-market rules-based** (Tacton, Conga, Logik.io): custom enterprise pricing, typically $30,000–$200,000 first-year all-in. - **AI-native** (Sailsrep): from €999 per month flat platform fee, typically sub-€20,000 first-year all-in. ### Shortlist by buyer profile - Heavily committed to Salesforce: Salesforce CPQ. - Heavily committed to SAP S/4HANA: SAP CPQ or best-of-breed via API. - Complex manufacturing with 3D visualisation: Tacton or Sailsrep plus a third-party 3D viewer. - Mid-market B2B wanting self-service customer experience: Sailsrep. - Document-heavy regulated industries: Conga CPQ. - Pure dynamic pricing optimisation: PROS Smart CPQ. ## How to replace a legacy CPQ without a year-long project > The common mistake in a CPQ replacement is treating it like the original implementation — a year-long workshop-driven rule rebuild. The right approach is parallel-run: extract the existing product schema, reimplement one product family in the new system in under three weeks, run both systems side by side for a quarter while quote quality is verified, then cut over. With AI-native CPQ, this approach compresses a typical 12-month replacement into roughly 8–12 weeks. A realistic replacement timeline for a mid-market B2B with 5 product families: 2 weeks for slice one, 8 weeks for parallel-run, 4 weeks to migrate the remaining families. Total: roughly 14 weeks. ## CPQ for manufacturers > For manufacturers, CPQ selection is different from software CPQ. The priorities are constraint-solving depth, bill-of-materials integration, ERP connection, and engineer-to-order support. Tacton and Sailsrep are the two main names for manufacturing CPQ in 2026. ### Constraint engines: the real benchmark - Tacton ships a proprietary constraint engine for industrial configuration. - Sailsrep runs a deterministic constraint solver that stays exact on thousands of interdependent rules. - Oracle CPQ and Salesforce CPQ use simpler rule evaluators that struggle past a few hundred rules. ### Engineer-to-order A good manufacturing CPQ handles the 80% of configurations that fit the standard schema fast, and has a clean escape hatch for the 20% that do not. Sailsrep supports ETO as a first-class workflow; Salesforce CPQ and Oracle CPQ require custom build-outs. ## CPQ for everyone else > Traditional CPQ was built for enterprises with a dedicated configuration team. For everyone else — smaller manufacturers, industrial distributors, specialised-equipment sellers — the implementation cost was too high to justify, so quoting stayed in spreadsheets and deals kept going to whoever replied first. AI-native CPQ flips the math: the tool handles the modelling work that used to require a specialist. ### Your best salespeople are the bottleneck The experienced, trusted, scarce salesperson is on the critical path for every quote. Days in spreadsheets, cross-checking compatibility, rebuilding a proposal that was built last month for a different customer — by the time it lands in the buyer's inbox, a competitor has already sent theirs. ### Why traditional CPQ didn't solve this for most companies Legacy CPQ required 2,000-hour modelling projects in a proprietary scripting language, with first-year costs routinely above six figures. A mid-market manufacturer could rarely justify that. The category built excellent tools for a thin slice of buyers and skipped the rest. ### What changed: AI did the modelling The wall was the setup — the modelling phase that turned a catalogue into a rule graph a machine could execute. AI-native CPQ removes that wall. The tool reads a spec sheet or pricelist, drafts a structured product schema, and a business user refines in plain English. With modelling cost down by an order of magnitude, the ROI window opens for teams previously locked out of the category. ### Why this creates more configuration, not less When modelling is cheap, more products get configured more granularly. Custom variants that used to be skipped because pricing and specifying them was too much effort now get offered. The CPQ market does not shrink as tools get better; it grows, because configuration that was uneconomical becomes worthwhile. ### Readiness checklist If two or more are true, the ROI window is open: you quote configurable products more than a few times per week; quotes routinely take more than a day to turn around; your best salesperson is on the critical path for most quotes; you have lost deals to a competitor who replied first; you have standardised the catalogue because the real variants are too hard to quote. ## Why a B2B proposal is a living document, not a PDF > In long B2B cycles your proposal rarely goes only to the person who asked for it. It gets forwarded into an investment committee or project group where your champion has to re-pitch your product without you in the room. An interactive proposal — one the buyer can adjust, one you can see them open, one that carries its configuration context — does part of the selling for you. ### Who actually reads a B2B proposal Rarely the person who asked for it. A champion moves it through an investment committee, a project group, a procurement lead, sometimes a blocker who was never on your call. Each reader has different priorities and most will never speak to you directly. ### What a static PDF can't tell you Whether it was opened, who it was forwarded to, which section held attention. A static proposal gives no signal and no handles; follow-up has to assume every stakeholder has read every page. ### What changes when the proposal is configurable An interactive proposal gives the buyer a working copy of the configuration. They can change the spec, adjust options, see price and trade-offs update. By the time they bring it to the committee they are discussing a version they co-own — not a pitch they were handed. Constraints are still enforced, so the buyer can only move to a valid configuration. ### Signals you can act on A living proposal leaves a trace: opens, time per section, variants experimented with, who it was shared with. Follow-up becomes informed rather than guessed. "Did you get a chance to look?" becomes "I noticed your procurement lead was looking at the modular option."