
Lokad
Probabilistic demand forecasting and inventory optimization for supply chains.
About
Lokad takes a different route than most forecasting tools: instead of a single demand number, it produces full probability distributions for every SKU, so planners can weigh the actual dollar risk of stockouts against carrying cost. Its Envision scripting language lets supply chain scientists encode business rules like MOQs, supplier price breaks, and multi-level BOMs directly into the optimization. The trade-off is that it is a specialist tool — you get strong results but it usually needs a Lokad scientist or a trained in-house team to get the models right, and pricing is a custom monthly subscription.
What it can do
- Probabilistic demand forecasting
- Multi-echelon inventory optimization
- BOM and supplier price-break modeling
- Slow-moving and obsolete stock identification
Setup
- Sign up at lokad.com and start a pilot project
- Upload historical sales, purchase, and stock data (CSV or via connector)
- Work with a Lokad supply chain scientist to configure Envision scripts
- Review probabilistic forecasts and replenishment recommendations
- Connect back to your ERP for automated ordering
Prerequisites
Historical sales and inventory data; an ERP or spreadsheet-based workflow to feed it
Use cases
Works with
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Long-running specialist (founded 2008); #1 SKU-level accuracy in M5 competition; Probabilistic forecasting methodology well documented in own tech docs; Enterprise delivery via supply chain scientists — thinner independent review coverage. License: Proprietary SaaS; monthly subscription..
How the trust score is built
Full methodology →- Adoption · stars/downloads, log-scaled vs peers
- 7.0/10
- Maintenance · recency, releases, issue load
- 8.0/10
- Openness · license + docs
- 6.0/10
- Manual review · sanity read + red-flag check
- 8.0/10
- · Long-running specialist (founded 2008); #1 SKU-level accuracy in M5 competition
- · Probabilistic forecasting methodology well documented in own tech docs
- · Enterprise delivery via supply chain scientists — thinner independent review coverage
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.