Crifel is the decision layer for fulfilment operations — it turns static planning into real-time decisions that can be explained.
Coordinated steps in every decision — capture to measure
Years on the warehouse floor behind the founding team

Routes are planned the day before, while conditions on the ground change by the hour.
Inventory uncertainty and manual allocation slow down every decision.
When systems operate in isolation, planning stays static and no one can reconstruct why a call was made.

A single decision layer orchestrates the entire operation — and records every decision it makes.
No order stays isolated. Spare parts, service orders, plant & site demand and store replenishment all enter through one door.
Translates multi-channel inputs into a single common schema, ready to be compared and ranked.
Selects the right workflow according to business rules — inventory, SLA, capacity, location and cost.
Coordinates pick, pack, sort & ship as one instruction to the right point.
Detects risks and re-decides in real time — before the SLA breach.
Compares outcomes against agreed KPIs, closing the loop for the next decision.

Spare parts orders, service orders, plant & site demand and store replenishment all become one unified order — received, validated, normalised and flagged, ready to be allocated.
One rule decides where each order goes — plant stock, central warehouse, supplier direct or cross-dock — ranked by inventory, SLA, capacity, location and cost.
Transactional systems log what happened. Crifel records the rule, the variables and the alternatives it ruled out.
Any decision can be replayed months later, with the rule version that produced it.
Rules are compared against the outcomes they produced.
The record is the dataset on which predictive models are later trained.
Picking, delay detection and packing run under real-time status and SLA control, so routing rules select the best option in cost, service level, availability and delivery window before the order ships.


Detect, alert, intervene and resolve — an anomalous status is caught inside the same flow, with a full decision trail.
Delivery, evidence and closure — including returns and replacements when applicable — share the same traceability as the rest of the order cycle.
Fully developed and demonstrable end to end. Pre-production, ready for its first industrial deployment.
Built on operational experience from after-sales and device lifecycle logistics delivered for Brightcell and Likewize.
Spec-driven development: our engineers write the specification, and AI builds and tests against it. A new carrier or ERP connector ships in days, not quarters.

Three alternatives exist today. Each solves part of the problem — and none records the decision.
Configurable, but opaque — a transactional log only, with 3 to 18 months to a first result. Built for retail scale, not daily-changing industrial operations.
Decision logic lives in people's heads. Immediate, but not repeatable — and nothing about the decision is ever recorded.
Crifel is built for industrial operations where conditions change daily and every decision has to be explained — explicit, versioned decision logic, fit for a scoped pilot with agreed KPIs.
That record is the training set — so the models are yours, not a generic pre-trained black box. Each model becomes available as the operation accumulates its own decision history, starting with the first weeks of the pilot.
Anticipates which orders are likely to miss their SLA.
Flags unusual order or carrier behaviour as it happens.
Suggests the best carrier for each shipment, learned from outcomes.
Balances cost and service level on every allocation decision.
Scoped, with a real integration and comparable results — validated on one real flow, with KPIs agreed before we start.
To first result on a scoped flow — not months
Platform, one integration, one scoped pilot
A week from your operations owner is all the pilot needs
Spare parts, service, plant demand, store replenishment and ERP orders all become one unified order.
Screens from the pre-production build — the same product behind every screenshot on this page.

Every allocation, carrier and status change, in one place.

Which carrier serves which zone, and at what service level.

A rollup view for the operations owner running the pilot.
Crifel is not a new team looking for a product. It is a product that outgrew the company that built it.
Meet the team →Everything you need to know before booking a call.
The decision layer for fulfilment operations. It captures every order, normalises it into a common schema, decides the right workflow against live rules, coordinates execution, monitors for risk in real time, and measures the outcome — recording why each decision was made.
For every order, Crifel stores the rule applied, the variables at decision time, the alternatives it ruled out and the outcome selected — so any decision can be reconstructed, improved and used to train predictive models.
Enterprise OMS suites and cloud platforms keep a transactional log of what happened. ERP and spreadsheets keep the logic in people's heads.
Crifel is the only one of the four that keeps an explicit, versioned decision record — rule, variables and alternatives ruled out.
Read access to one order source, one inventory source, one carrier or fleet contact, and one operations owner at roughly 4 hours a week. Each KPI is measured against a baseline captured before go-live.
Both, on the same platform. Carrier, route and delivery window are decided at dispatch time against live cost, service level, availability and SLA — while every allocation and fulfilment decision is recorded with its rule, variables and alternatives ruled out, the dataset a predictive model needs to be trained on your operation.
We compare the agreed KPIs — automation rate, processing time, SLA compliance, errors, cost per order and time to resolution — against the baseline, and build the case for scale-up together.
Have any questions? Get in Touch
Let's validate Crifel on one real flow and build the case for scale-up together. Thirty minutes to see it end to end.
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