7 RFP Questions Every Brand Should Ask When Evaluating Wholesale Software

Most wholesale software evaluations fail before the first demo begins. They fail because the brand goes into the process asking the wrong questions — or asking the right questions too late, after the vendor has already shaped the conversation around their strengths and away from their gaps.

Platform vendors are good at demos. They've run the demo hundreds of times. They know which features look impressive on screen, which objections come up most often, and how to handle them. If you walk into an evaluation with a generic checklist — "Does it have a digital catalog? Does it integrate with my ERP? Does it support pre-book?" — you'll get affirmative answers to all of them, because every platform at this tier checks those boxes in some form. The difference is how deep the capability goes, who does the hard work when it breaks, and what the relationship looks like in year two.

The seven questions in this guide are designed to surface those differences. They're not softballs. They require specific, verifiable answers — not positioning language. The right platform vendor will welcome them. A vendor that hedges, generalizes, or pivots away from specifics is telling you something important about what the platform actually delivers versus what it's presented as delivering.

How to Use This Guide

Each chapter covers one RFP question in depth: what the question is designed to reveal, how to interpret the answer, and the follow-up questions that dig into the specifics. Use these as the backbone of your formal RFP, your vendor evaluation calls, and your reference check conversations with existing customers.

A note on reference checks: they matter more than the RFP responses themselves. Vendors write RFP answers to put their best foot forward. Customers who've been on the platform for 18 months tell you what the platform is actually like. Ask to speak with brands that have been on the platform for at least a year, in your specific vertical, at comparable scale. The conversations you have with those references will do more to shape your decision than any number of slides or demo environments.

Who Should Be in the Room

The team evaluating wholesale software should include more than one function. Sales leadership cares about rep adoption and order intelligence. Operations cares about accuracy, error handling, and integration reliability. IT cares about security, maintenance burden, and integration architecture. Marketing cares about the branded buying experience. Finance cares about total cost of ownership and the contract structure. Each of these stakeholders will catch things the others miss — and the platform that performs well across all of them is the one that will actually be used.

Questions to Ask Before the Evaluation Starts

• What is actually driving this evaluation — cost, missing capabilities, a distribution strategy shift, or contract renewal timing? Be honest with yourselves before you're honest with vendors. The answer determines which criteria matter most.
• What does the ideal outcome look like in 18 months? Not the platform features you want — the business outcomes. More self-serve orders? Fewer correction cycles? Faster retailer onboarding? Specific outcomes make the evaluation criteria concrete.
• Who has final decision authority, and what does that person need to see to feel confident? Structure the evaluation to answer that question directly, not to impress everyone equally.
• What's the contract timeline, and when do you need to be live? Work backward from go-live to set a realistic evaluation timeline. Platform migrations that happen under deadline pressure tend to go badly.
• What would a failed platform migration cost the business — in lost orders, retailer trust, and team time? Understanding the downside of a bad decision helps calibrate how much rigor the evaluation deserves.

This is the most important technical question in a wholesale software evaluation, and it's the one most likely to receive a vague answer that sounds specific. "We integrate with your ERP" is true of almost every platform at this tier. What it conceals is whether the integration is real-time or batch, who builds it, who maintains it, and what happens when it breaks.

What This Question Is Designed to Reveal

The ERP is your source of truth for inventory, pricing, and order data. How that truth moves between the ERP and the wholesale platform — and how quickly — determines whether your reps quote accurate availability, whether self-serve orders can be trusted, and whether order data lands in the ERP without manual re-entry. The architecture of the integration is the architecture of your wholesale operation's data reliability.

Near real-time API integration means inventory updates at nearly the exact moment the ERP changes. An order placed at midnight is validated against current stock, syncs back to the ERP in seconds or minutes with schema-enforced validation, and requires zero manual touchpoints in the normal flow. New goods received into the warehouse are available to sell within minutes or hours.

Batch integration — a daily flat file export, an FTP drop, a scheduled sync — means the wholesale platform is always working from yesterday's picture. A rep quoting availability at noon is quoting what was in stock this morning. An order placed against stale inventory oversells stock that moved between the last sync and the order placement. Orders land in the ERP through a delayed import, often with manual error handling.

The operational difference is not marginal. L*Space documented invalid orders running at roughly 20% of volume on a batch-synchronized system. After moving to a near real-time API integration to RepSpark, invalid orders dropped to near zero, and service overhead fell by 70%. That improvement traces entirely to the integration architecture — not to any other platform feature.

What a Good Answer Looks Like

A strong answer names the integration method specifically (real-time REST API, not "near real-time" or "frequently updated"), names the ERPs with production-tested connectors, identifies who manages the integration after go-live (the vendor's team, not yours), and provides a reference customer running your specific ERP at comparable scale who you can call. A vendor who describes their integration as "seamless" or "robust" without naming the method is giving you marketing language, not a technical answer.

RepSpark integrates with 20+ ERPs — NetSuite, SAP, Microsoft Dynamics, Infor M3, BlueCherry, AIMS360, ApparelMagic, CIN7, Aptean, Fulfil, QuickBooks, FullCircle, A2000, and more — through a documented REST API. The integration is near real-time and bidirectional, with schema-enforced validation on every order. Acushnet Holdings runs 100,000+ SKUs across multi-brand, multi-division operations through RepSpark on Infor M3. RepSpark Professional Services manages the integration setup end to end.

Follow-Up Questions to Ask

• Is the integration real-time API or batch? If real-time, what's the typical latency between an ERP update and when it's reflected in the platform?
• What happens when an order fails schema validation — who gets notified, how fast, and what does the correction workflow look like?
• Who maintains the integration after go-live — your engineering team or mine? What's the SLA for integration issues, and what does escalation look like?
• Show me the integration documentation for [my ERP]. Is it publicly available, or proprietary? If proprietary, can I have a copy before signing?
• What's your largest customer by SKU volume on [my ERP], and can I speak with their IT team specifically about the integration?
• What happens if you release a platform update that breaks a field mapping in the ERP integration? How are customers notified, and who owns the fix?
• What's the process if I need to switch ERPs in year three of our contract? Can I migrate the integration, or does it restart as a new implementation?

The implementation question is where the most consequential gap between the sales experience and the customer experience opens up. Every vendor presents implementation as straightforward during the sales process. The brands that have been through difficult implementations describe a very different experience — one where the vendor provided documentation and the brand's team discovered, often mid-project, how much was left unspecified.

What This Question Is Designed to Reveal

Implementation for a wholesale platform involves several distinct workstreams: ERP data migration (moving product data, pricing, and account data into the platform's schema), ERP integration setup and testing, system configuration (catalogs, assortments, pricing tiers, account groups), retailer communication and onboarding, and go-live validation. The question of who manages each of these workstreams — and what "manages" means in practice — is where implementations succeed or fail.

A vendor that says "our Professional Services team handles implementation" may mean their team is available to answer questions while the brand's team does the work. Or it may mean a named project manager who owns a defined scope, manages deliverables against a timeline, and is accountable for go-live quality. The difference is enormous, and it only becomes clear when you ask specifically.

What a Good Answer Looks Like

A strong implementation answer includes: a named project manager assigned from day one who owns the implementation alongside the brand's team; specific scope coverage for ERP data migration (not just "support" but actual data mapping and validation); a defined project plan with milestones, go-live criteria, and escalation paths; a retailer launch communication included in the standard scope (not an add-on); and a post-launch account manager relationship that includes scheduled reviews, not just ticket-based support.

RepSpark's Professional Services team handles ERP data migration end to end — data mapping, schema validation, integration testing, and go-live — with a dedicated U.S.-based account manager from day one. When the platform goes live, RepSpark sends a launch announcement to relevant buyers in the retailer network on the brand's behalf. Quarterly strategic reviews are included in the standard account management model, not available only on premium support tiers.

The Reference Check Question That Reveals Most

The single most revealing question to ask a vendor's reference customers: "How closely did the implementation actually match what was described during the sales process — and where were the gaps?" The answers to that question will tell you more about the vendor's implementation reliability than anything in the RFP response.

Follow-Up Questions to Ask

• Who specifically is my implementation project manager — name and title — and what is their full-time responsibility? How many implementations are they running simultaneously?
• What is explicitly in scope for Professional Services — and what is explicitly out of scope? I want both answers in writing before we sign.
• Who does ERP data migration: your team or mine? If yours, what does the data mapping process look like, and how is quality validated before import?
• What's the standard go-live timeline for a brand migrating from a spreadsheet or homegrown system — with our ERP complexity and account count?
• What are the three most common sources of implementation delay you've seen, and what does your process do to prevent them?
• Who is my account manager after go-live, and what does that relationship look like in month seven — not month one? Is there a scheduled cadence, or do I have to request it?
• If something goes wrong during go-live week — an ERP sync failure, a data quality issue, retailer access problems — what happens? Who do I call, and what's the resolution SLA?

Platform-wide buyer counts are marketing numbers. What matters to your brand is how many of your specific retailer types — green grass golf facilities, specialty swim shops, outdoor specialty, department store boutiques — are actively placing orders on the platform today. The difference between a platform's total registered buyer count and its active buyer count in your segment is often larger than vendors want to discuss.

What This Question Is Designed to Reveal

Retailer network coverage determines whether you're joining an active ecosystem where your buyers already have logins and habits, or recruiting your retailers to a new system at the same time you're migrating your own team. The first scenario makes implementation dramatically easier and drives adoption faster. The second scenario doubles the implementation complexity and slows the self-serve ordering uptake that generates the ROI you're making the investment to capture.

"Active buyer" and "registered buyer" are different things. A registered buyer created an account at some point. An active buyer logged in and placed an order in the last 90 days. Ask for the active buyer count in your specific retail channels, not the platform-wide registered count. The gap will tell you how warm your network is before you launch.

What Network Depth Actually Delivers

When RepSpark goes live for a golf apparel brand, the roughly 80% of U.S. golf retailers who already use RepSpark daily receive a notification that a new brand is available. Those retailers have accounts. They know the interface. They've already built self-serve ordering into their workflow through other brands on the platform. Onboarding them is a notification, not a training initiative — and orders can start flowing the week of launch rather than the month after.

For swim, surf, and lifestyle brands, RepSpark Community — the platform's retailer discovery channel — has 100,000+ active buyers, with 65% increase in buyer requests year over year and 94% of buyer requests approved. These are buyers actively looking for new brands, not passive accounts that need to be persuaded to log in.

How to Evaluate Network Claims Honestly

Ask every vendor to pull a list — or at minimum a count — of active buyers in your specific accounts. If you have a target account list, ask the vendor to cross-reference it against their active buyer database before you start a formal engagement. The vendors with real network depth in your segment can do this quickly. The ones with thin coverage in your channels will either decline or produce numbers that tell the story for you.

Follow-Up Questions to Ask

• How many of my active retail accounts are already on your platform — not registered, but placing orders in the last 90 days? Can you run that check against my account list before we proceed?
• What percentage of [green grass golf facilities / specialty swim / outdoor specialty / boutiques — name your channels] in the U.S. are active on your platform today?
• When I go live, how are my retailers notified? Does that notification come from your platform or from me? What's the typical open rate and adoption rate from launch communications?
• What does retailer onboarding support look like for accounts that are new to your platform — who provides it, and how long does it typically take to get a new retailer placing orders independently?
• If my retailers are already on a competing platform, what does the transition look like for them — new account creation, new password, new interface to learn?
• How does your platform support retailer discovery — can new retailers find my brand and request to connect, or does all connection flow through my sales team?

Every wholesale platform vendor is describing their AI capabilities in 2026. Most of what's being called AI in this space falls into one of two categories: network analytics that show aggregate buyer behavior across the platform, and embedded ordering intelligence that surfaces actionable signals to the rep in the workflow where they already work. These are materially different things, and understanding which one a vendor is offering matters more than whether they're offering AI at all.

What This Question Is Designed to Reveal

Network analytics AI — common in marketplace-oriented platforms — tells you things like what buyers across the platform are purchasing, which categories are trending, and how your assortment compares to others in your segment. This is valuable data, but it requires a separate analytical workflow to act on it. A rep has to go find the insight, interpret it, and decide what to do with it.

Embedded ordering intelligence works differently. It scans the orders your team is actively working and surfaces what needs attention — right now, in the place your rep is already operating — without requiring a separate step. An expiring draft that was placed three weeks ago and hasn't been confirmed. An order with a quantity gap that breaks a retailer's historical pattern. An account that typically reorders every 45 days and is now at day 60 without a new order. These signals appear on the Orders page when the rep logs in — no dashboard to check, no report to pull.

RepSpark AI: Embedded Intelligence, Not a Chatbot

RepSpark AI is embedded on the Orders page — the place reps already work — and surfaces what needs attention without requiring behavior change. What once took 10–15 minutes of manual order review per session now surfaces in seconds. The rep logs in and immediately sees which orders need action, which accounts need follow-up, and where the revenue at risk is concentrated.

This is not a chatbot you have to go ask. It's not a separate analytics tool. It's ordering intelligence embedded in the existing workflow, doing the watching so the rep can focus on doing. The distinction matters: a tool that requires a behavior change to be useful will be used inconsistently. A tool that appears where the rep already works will be used every session.

What to Verify Before Accepting an AI Claim

Ask to see the AI capability in a live environment — the actual interface, not a slide or a conceptual walkthrough. Ask specifically: where in the rep workflow does the AI surface? What does it look like when an AI insight appears? What does the rep do with it — is the action one click, or does it require navigating to another part of the platform? Ask for examples of AI-surfaced insights that led to a recoverable order — an expired draft recovered, a quantity gap caught before a bad order was confirmed.

Follow-Up Questions to Ask

• Show me the AI in a live environment — not a slide. Where exactly in the interface does it appear, and what does a rep actually see when an insight surfaces?
• Is this AI network-level analytics (aggregate buyer behavior) or rep-level ordering intelligence (signals about my specific accounts and orders)? Be specific about which one it is.
• What does the AI do — surfaces insights for human action, or makes decisions autonomously? Who stays in control of the order?
• How was this AI capability built — trained on platform-wide data, specific to my brand's order history, or both? And is my order data used to train models that benefit other brands?
• Can you show me a specific example of an AI-surfaced insight that led to a recovered order or a prevented error — in a production environment, not a demo?
• What AI capabilities are on your roadmap, and what's the expected release timeline? Is there a publicly committed roadmap I can reference?
• Is the AI available on all subscription tiers, or only on specific plans? I want to confirm what I'm getting at the price I'm being quoted.