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Lokad

Lokad: A specialist platform for uncertainty-aware inventory and supply-chain decisions. Ranked #5 of 25 in Inventory Optimization Software by our editors (8.4/10); pricing: Pricing on request; best for advanced probabilistic inventory optimization.

8.4/10Editor score
Lokad8.4 Visit Lokad

At a glance

  • Editor score
    8.4 / 10
  • Pricing
    Pricing on request
  • Best for
    Advanced probabilistic inventory optimization
  • Free plan
    No
  • Replenishment recs
    Yes
  • Founded
    2008 · Paris, France
  • Facts checked
    21 Sep 2026
Lokad screenshot
  • Where it wins

    • Probabilistic forecasting and stochastic inventory optimization
    • Multi-location and multi-echelon allocation with service-level modeling
    • ERP, WMS, MRP and CRM integrations plus Envision modeling
  • Where it doesn't

    • Quote-based pricing requires a sales conversation
    • Web platform only
    • Expert implementation is part of the product approach

Our verdict on Lokad

Lokad is a cloud-based supply-chain optimization platform for retailers, manufacturers, distributors, and other organizations managing complex inventories. It combines probabilistic forecasting, stochastic optimization, automated replenishment, and inventory allocation across multi-location and multi-echelon networks. Its decision scope extends beyond purchasing and replenishment to production, pricing, and other supply-chain activities, with financially prioritized planning for organizations operating under uncertainty.

Pricing is quote-based rather than organized into publicly listed plans. The published commercial model describes flat monthly pricing generally starting in the low-digit thousands of EUR or USD. There is no free plan. Lokad is delivered through the web, and its expert implementation model includes Supply Chain Scientists supporting implementation and ongoing refinement. That makes the platform a better fit for organizations prepared to work through a structured optimization initiative than for teams looking for a self-serve inventory application.

The strongest fit is a business with complex networks, meaningful demand uncertainty, and existing transactional systems that need better decisions layered on top. Lokad integrates with ERP, WMS, MRP, CRM, FTPS, and SFTP environments, while its Envision environment supports programmatic supply-chain modeling. Scenario-based simulation, safety-stock and service-level modeling, and automated reorder decisions add depth for teams that need to evaluate trade-offs rather than rely on simple reorder rules. Choose Lokad when advanced probabilistic planning and specialist support justify quote-based engagement; choose an alternative if you need transparent plan pricing, a free tier, or a simpler self-serve workflow.

Your product? Our editors can test Lokad in depth and publish a review, labelled as paid · from $149/mo →

Lokad pricing

Plans Pricing on request No free plan — trial or paid only. Prices checked 21 Sep 2026.
See plans on lokad.com

Lokad fact sheet

Free planNo
Paid fromNot verified
Multi-location optimizationYes
Safety stock optimizationYes
Service-level targetsYes
Replenishment recsYes
Multi-echelon optimizationYes
Scenario planningYes
DeploymentCloud
PlatformsWeb
Compliance & securityGDPR, SSO/SAML, 2FA
SupportEmail, Live chat, Tickets, Docs
Built forMid-market, Enterprise (editorial estimate)
Integrations6 integrations: ERP, WMS, MRP, CRM, FTPS, SFTP See all →
PricingPricing on request (source)
Websitelokad.com
Facts checked21 Sep 2026

Lokad integrations

Lokad lists 6 integrations on its own site.

  • ERP
  • WMS
  • MRP
  • CRM
  • FTPS
  • SFTP

See all Lokad integrations →

Alternatives to Lokad

See all Lokad alternatives →

Lokad vs the competition

Compare Lokad with any tool side by side →

Also Ranked In

Lokad is ranked in 6 of our directories.

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Featured on iTechGuides

Featured on iTechGuides — Lokad 8.4/10

Lokad is listed in our Inventory Optimization Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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