AI and low‑code make building apps easier - but Supplier Relationship Management software is more than a database. If you manage 100+ suppliers, operate at €50M+ revenue with 500+ employees and a procurement team over 5 people, buying a purpose‑built SRM typically wins on time‑to‑value, risk, and total cost of ownership. Smaller, low‑risk teams can justify a focused build or pilot.
With AI code assistants and low‑code platforms, it’s tempting to roll your own SRM software. The pitch sounds great: exact fit, lower license cost, full control. But SRM is a system of record and a system of work across onboarding, risk/ESG, performance, corrective actions, contracts, and collaboration with suppliers. That breadth is where build projects slow down, balloon in scope, and quietly acquire long‑term maintenance risk.
This guide gives you a practical framework - no hype - to decide when to build and when to buy.
If your mental model is “a CRM but for suppliers,” expand it. A credible SRM typically spans:
Onboarding & qualification (policies, documents, questionnaires, approvals)
Risk & ESG (third‑party data, evidence logs, assessments, continuous monitoring)
Contracts & renewals (link to performance and risk gates)
Performance scorecards & KPIs (quality, delivery, cost, innovation; CAPA workflows)
Supplier development (initiatives, milestones, results tracking)
Supplier portal (secure data collection, collaboration, SLAs)
Integrations (ERP/P2P/AP, SSO/RBAC, MDM, data lake/BI)
Auditability (who changed what, when, and why)
That’s a lot of surface area for a custom build to cover - and keep current.
There are three common paths when building your own srm software:
Internal engineering (full custom web app + services)
Your engineers design the data model, UI, workflows, security, and integrations from scratch. Maximum control; maximum responsibility.
Low-code/AI-assisted (assemble workflows, forms, automations)
You stitch together forms, rules, and bots with platforms and code assistants. Faster to prototype; still real work to harden, secure, and scale.
Heavy customization of CRM/ERP (bend it into supplier workflows)
Extend existing systems with objects, flows, and plugins. Familiar stack, but you’ll fight the tool’s “customer-first” assumptions.
Build - Pros
Exact fit to niche processes and data model
Model multi-site suppliers, category-specific fields, and approval logic exactly as you operate.
Control & IP (you set the roadmap, not a vendor)
Prioritize what matters this quarter; no waiting for a vendor backlog.
Selective scope (start narrow, avoid paying for features you won’t use)
Ship a focused MVP - e.g., onboarding + risk—then expand only if ROI is proven.
Build - Cons
Time-to-value (months to MVP; longer to “audit-ready”)
Evidence logs, access controls, and portal UX add invisible months beyond the first demo.
True TCO (people + infra + security + maintenance + support)
Budget not just build hours—think hosting, monitoring, pen tests, docs, user support.
Integration upkeep (ERPs, SSO, risk feeds change; your team becomes L2 support)
Every upstream change can break your flows; you own fixes and regressions.
Talent risk (key dev leaves; “bus factor” > vendor risk)
Knowledge concentrates in a few people; turnover can stall critical workflows.
Compliance debt (access controls, retention policies, evidence logs)
Auditors expect traceability by default; retrofitting controls is costly.
When build works
Small supplier base, low regulatory exposure, 1–2 power users, and an internal platform team that will own it long term.
Great for piloting a unique workflow or short-lived program before you scale.
Best-of-breed SRM
Comes with prebuilt workflows (onboarding, risk, scorecards), supplier portals, connectors to ERP/P2P/SSO, and audit-grade logs.
Roadmap and reliability are funded and tested across many customers.
Buy - Pros
Faster time-to-value (weeks, not quarters)
Configure, import, go live—most heavy lifting is done already.
Lower delivery risk (battle-tested patterns, vendor support)
Proven templates reduce design errors; support teams handle edge cases.
Feature depth for audits, portals, scorecards, and risk/ESG
Depth where builds struggle: evidence trails, corrective actions, third-party data feeds.
Shared roadmap (new features without your engineering hours)
Continuous improvements arrive with minimal internal effort.
Buy - Cons
Subscription & services (budget line item)
Opex commitment; plan for implementation services and training.
Fit limits (configuration > deep customization; good governance helps)
You adapt some processes to the platform—use governance to standardize.
Vendor dependency (mitigated by data export and clear SLAs)
Manage with exit clauses, open data access, and uptime/support SLAs.
When buy wins
In procurement teams where supplier performance, quality and speed matters a lot. For companies that have multi-site operations, regulated categories, multiple ERPs, or are regularly performing supplier audits and reporting on supplier risk and ESG.
|
Your context |
Suppliers |
Employees |
Revenue |
Size of procurement team |
Recommended |
|---|---|---|---|---|---|
|
Scrappy & simple |
< 100 |
< 500 |
< €50M |
≤ 5 |
Build‑leaning (low‑code or pilot) |
|
Scaling & complex |
100–1,000 |
500–5,000 |
€50M–€1B |
5–30 |
Buy‑leaning (time‑to‑value + compliance) |
|
Enterprise & regulated |
1,000+ |
5,000+ |
€1B+ |
30+ |
Buy (depth, auditability, integration scale) |
Rule of thumb: If you are over €50M revenue, 500+ employees, 100+ suppliers, and >5 procurement FTE, buying usually outperforms building on outcomes and TCO.
Costs (Year 1)
Build: product mgmt, 3–5 engineers, QA, design, security, infra, monitoring, SSO, data migration, integrations, documentation, support, contingency (10–20%).
Buy: subscription, implementation/services, integrations, change management & training.
Benefits
Savings uplift via compliance/governance (S × Δ%)
Efficiency (hours back to the team)
Risk avoidance (probability × impact)
Speed to value (cost of delay for each month not live)
Supplier‑led innovation (harder to quantify; use scenario bounds)
Formulas
Savings = Addressable Spend (S) × Incremental Savings Rate (Δ%)
Efficiency = FTE × Hrs/Week × 48 × Loaded Rate
Risk avoided = Incident Cost × Probability Reduction
Total Benefits = Savings + Efficiency + Risk avoided
Payback (months) = Year‑1 Cost / (Total Benefits ÷ 12)
Illustrative example (plug your numbers):
S = €40M, Δ = 1.5% → €600k savings
Efficiency: 5 buyers × 4 h/wk × 48 × €60/h → €57,600
Risk avoided: 10% less likelihood on a €250k event → €25,000
Total benefits ≈ €682,600
Buy (Year 1): €220k → ~3.1× ROI, ~3.9‑month payback
Build (Year 1): €450–700k (typical) → longer payback, plus ongoing ownership
Keep it honest: state assumptions, ranges, and sensitivity. CFOs don’t need perfection—just clarity and repeatable math.
Continuous risk & ESG monitoring with external data feeds and evidence trails
Scorecards → CAPA → contracts/renewals tied into governance gates
Supplier portal with secure data collection, SLAs, and multilingual UX
Multi‑ERP/site normalization and a supplier 360 with audit logs
Granular access controls & retention to satisfy audits
Each of these is an integration + compliance problem as much as a UI problem.
You need a narrow, unique workflow not served by the market
You’re running a short‑lived program or a proof of concept
You have a strong internal platform team and clear ownership
Your footprint is <100 suppliers, ≤5 procurement FTE, and low compliance risk
In those cases, low‑code/AI can be a smart way to validate process design quickly - then graduate to buying when complexity rises.
Days 0–30: SSO, core data model, import Tier‑1 suppliers, configure onboarding + 3–5 KPIs
Days 31–60: Integrate ERP/P2P/AP, launch supplier portal for a pilot category, train users
Days 61–90: Expand categories, activate risk/ESG, publish dashboards, lock governance & roles
Complexity & risk
Number of active suppliers (0:<100, 1:100–500, 2:>500)
Regulated categories/ESG reporting (0:low, 1:medium, 2:high)
Multi‑ERP/site landscape (0:no, 1:some, 2:yes)
Capacity & ownership
Dedicated engineering capacity (0:none, 1:part‑time, 2:full team)
Willingness to own security/compliance roadmaps (0:low, 1:medium, 2:high)
Change management maturity (0:low, 1:medium, 2:high)
Outcome urgency
Time‑to‑value needed (0:>9 months, 1:3–9 months, 2:<3 months)
Cost of delay impact (0:low, 1:medium, 2:high)
If your total ≥ 9, you’re squarely in Buy territory. ≤ 6 can justify Build/Pilot—with eyes open.
AI accelerates development but doesn’t remove integration, security, data quality, or audit work. Those are the slow parts.
Mitigate with data export rights, clear SLAs, and a contract exit plan. Building creates a different lock‑in—to your own people and backlog.
CRMs are optimized for revenue workflows (“closed‑won”), not supplier governance. You’ll spend effort simulating risk, ESG, and auditability that SRM platforms provide out‑of‑the‑box. Learn more about CRM vs SRM for Supplier Management.
Limit scope to 2–3 high‑value workflows, assign process owners, train power users, and publish dashboards tied to executive metrics.
For most organizations over €50M annual turnover, 500+ employees, 100+ suppliers, and a procurement team larger than five, buying an SRM delivers faster value, lower delivery risk, and better long‑term economics than building - even with today’s AI and low‑code options. Smaller or highly specialized teams can still justify a focused build, but they should plan for a future migration once complexity rises.
Next step: use the checklist and ROI model above to create a one‑page business case. If you score high on complexity and urgency, start vendor evaluations with a 90‑day rollout plan in mind.