Stress-test the decisions that matter

Kallikor is a supply chain decision platform built on simulation. It keeps a live model of your sites, transport and network, connected to your data, so you can test a change against how your operation really runs and see what it does to cost, service and capacity.

The platform

A living model of your operation, ready for the next question

Four steps on one live model, with an AI agent working across all of them.

●Dex, the AI agentSets up and runs the experiments, explains the results, and reruns them automatically when new data lands.
  1. Step 1ConnectYour data, checked and kept current
  2. Step 2ModelYour operation, as it really runs
  3. Step 3ExperimentOptions tested against real conditions
  4. Step 4DecideA decision you can explain and defend

Built on simulation that models real-world variability, validated against your operation, with every result traceable to its data.

Why you can trust it ↓

1

Connect

Live, checked and complete data, without a data project

Kallikor connects to the systems you already run and keeps your model current, so every answer reflects your operation as it is today.

Live data connections

Your WMS, ERP and TMS keep the model current.

AI data onboarding

Extracts, spreadsheets and PDFs turned into simulation-ready data, with errors flagged and fixed.

Dataset management

See, check and trace every dataset, and build each scenario's data in a few clicks.

Synthetic data

Fill gaps, or create data for futures you have no history for.

An automated warehouse modelled from above: docks, racking, a robotic grid and conveyors
DexAutomated site · Data
  • WMSLive
  • ERPLive
  • TMSLive
  • Labour plan.xlsx3 gaps filled
  • Store orders.csvChecked

3 gaps in the labour plan filled from 12 months of shift data, and flagged for your review.

A large manual warehouse modelled in detail: row after row of pallet racking
Dex

Throughput: baseline vs actual

  • Carton pick98.9% ✓
  • GOH pick97.6% ✓
  • GOH putaway98.4% ✓
  • Putaway97.9% ✓
  • Replenishment98.7% ✓

Real-world variability · 200 runs

Average1 day in 8

5 min40 min

Peak queue at putaway

1 day in 8, the putaway queue runs past 30 minutes

2

Model

A model built to fit how your operation actually works

Our team builds the model with yours, in the detail each decision needs, and checks it against how your operation really runs before testing anything.

Connected as one network: Warehouses · Transport · Stores · Suppliers · Ports

Site and network modelling

Every process inside a site, down to individual pick walks, run together with transport plans and the wider network.

Composable models

Extended for whatever is unique to you, from your picking rules to your own algorithm.

Equipment and process library

Pre-built manual and automated equipment, so your site is modelled quickly.

3D playback

See your sites and vehicles run, and show stakeholders what will change.

3

Experiment

Rigorous tests that find the breaking point and prove what works

Once your model is built, each new question takes minutes to set up and run, on the same validated model.

Scenario management

Every option you test is saved, organised and easy to return to.

Robustness assessment

Test a plan against every day of the year, from quiet weeks to peak, plus disruptions, to see where it would break.

A plan tested from above: shuttle racking, a robotic grid and its decant stations
DexExperiment · Volume +13%

What breaks first if volume grows 13%?

Decant, at 98% utilisation. Every other area has headroom.

  • Service today95%
  • At +13%88%
  • Runs200

Sources

1Scenario B · 200 runs ↗
DexUS network · Next DC

Recommendation

To support 20% growth in the Southeast, the best location for your next DC is Atlanta.

Why not expand Ohio? It’s $24m cheaper.

Ohio adds capacity but not reach: next-day store coverage only rises to 79%, and Florida stores still run from Texas.1 Atlanta reaches 94% and pays back in 3.1 years.2

Sources

1Options A, B · 200 runs each ↗2Capex and cost-to-serve model ↗

4

Decide

Faster decisions that stand up to scrutiny

Results come in the measures your business already uses, with the reasoning behind them, so you can explain the decision to anyone who needs to sign it off.

Scenario comparison

Compare options side by side on cost, service and capacity.

Custom KPI analysis

Track the KPIs your business already uses, and set up your own.

Cost to serve

See where each option's costs come from, by site, warehouse and transport.

Sharing and reporting

Send results to stakeholders and into your existing reporting.

Dex

Ask the question. Dex runs the scenarios.

Dex is an AI agent that works on your validated model. It opens simulation up to anyone with a question, from operations to finance and planning, without needing simulation expertise.

Builds and runs experiments from a question

Describe a change and Dex sets up the options, runs them and recommends one.

“Test a 12% demand increase across the northern sites.”

Explains results, traced to the data

Ask about any result and get a plain-language answer, with the data behind it.

“Where is the bottleneck?” “Why this recommendation?”

Reruns when new data lands

New data arrives, Dex reruns what matters and tells you what's changed.

“This week's volumes are in: two of last week's plans now miss their cut-off at peak.”

Why you can trust the results

Built on simulation, because averages miss the detail that causes plans to fail

Most planning tools and spreadsheets work on averages. Real operations have queues, bottlenecks, delays and variability, and that is where plans break.

Models real-world variability

Queues, bottlenecks, breakdowns and demand swings, minute by minute. Each option runs many times, so you see the range of outcomes and the risk.

Validated against your operation

We check the model against your actual performance before testing anything. Across our customers, models average 98.3% accuracy against real-world results.

Every result traceable

Follow any result back to the scenarios, assumptions and data behind it, so it stands up to questioning.

[Gartner citation on simulation and probabilistic decision-making]

IllustrativeCapacityTimeWorkload
Simulation runsThe averageWhere a plan breaks

How we work

A dedicated team working alongside yours

Every customer has a dedicated Kallikor Pod: simulation engineers and supply chain specialists who work alongside your team. We agree the decision you need to make, find the gaps and roadblocks early, and keep refining the model with you, so it holds up now and as your operation changes.

Kallikor team walking a distribution centre mezzanine with site managers
A network model of UK distribution on a laptop screen

Built by us

We gather your data, fill the gaps and walk the sites with the people who run them. Then we build the model and validate it against your real performance.

Run with us

We work alongside your team on the decisions that matter, getting real strategic value from the model quickly.

Owned by you

As your team grows confident, they run their own experiments with Dex. The model becomes a permanent part of how you decide, and our Pod is still there when you need it.

How you start

Start with one decision, then build out

Most customers start with a single site and one question that matters. The model grows from there, one decision at a time, until it covers the whole network.

Illustrative network · fictionalOnlineLive data 06:00Your first siteWarehouse or DCTransportStoreSupplier or port
  1. 1 / 5 · First 4–8 weeks

    Start with one decision

    Bring us a question that matters, often at a single site. Your Pod builds the model with your team and validates it against your real performance before testing anything.

How Kallikor compares

How does Kallikor compare with spreadsheets, network design tools and consultancy?

Bring us the decision you're weighing up

Bring us the decision you're weighing up

Bring us the decision you're weighing up