Every order routed. Every decision explained.

Crifel is the decision layer for fulfilment operations — it turns static planning into real-time decisions that can be explained.

6

Coordinated steps in every decision — capture to measure

18+

Years on the warehouse floor behind the founding team

Crifel logistics control panel dashboard
The Problem

Orders arrive in seconds. Making the right call before the SLA slips is the real challenge.

  • 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.

Report of delayed orders showing SLA risk
The Answer

Crifel turns every order into a coordinated decision

A single decision layer orchestrates the entire operation — and records every decision it makes.

1. Capture

No order stays isolated. Spare parts, service orders, plant & site demand and store replenishment all enter through one door.

2. Normalise

Translates multi-channel inputs into a single common schema, ready to be compared and ranked.

3. Decide

Selects the right workflow according to business rules — inventory, SLA, capacity, location and cost.

4. Execute

Coordinates pick, pack, sort & ship as one instruction to the right point.

5. Monitor

Detects risks and re-decides in real time — before the SLA breach.

6. Measure

Compares outcomes against agreed KPIs, closing the loop for the next decision.

Unified order inbox across channels
Process 1 · Capture & Allocation

Every order is allocated to the hub that can best fulfil it

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 entry point for every channel
  • One rule decides where each order goes — plant stock, central warehouse, supplier direct or cross-dock — ranked by inventory, SLA, capacity, location and cost.

Measured as: order data completeness · effective availability · allocation lead time · manual interventions per 100 orders
The Decision Record

Every decision leaves a record of why it was made

Transactional systems log what happened. Crifel records the rule, the variables and the alternatives it ruled out.

Reconstruct

Any decision can be replayed months later, with the rule version that produced it.

Improve

Rules are compared against the outcomes they produced.

Train

The record is the dataset on which predictive models are later trained.

Process 2 · Preparation & Dispatch

Carrier, route and window are chosen at dispatch time — not the day before

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.

Delivery coverage matrix used for routing rules
Measured as: preparation cycle time · picking accuracy · on-time dispatch · cost per shipment
Delivered order detail with full traceability
Process 3 · Exceptions & Closure

Problems are managed before they become critical

  • 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.

Measured as: exceptions detected before SLA breach · mean time to resolution · orders closed with evidence · return cycle time
Execution Capability

The product is new. The operational knowledge is not.

1
Product Ready

Fully developed and demonstrable end to end. Pre-production, ready for its first industrial deployment.

2
Applied Experience

Built on operational experience from after-sales and device lifecycle logistics delivered for Brightcell and Likewize.

3
AI-Native Engineering

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.

Carrier performance report
How We Compare

Other systems track what happened. Crifel explains why.

Three alternatives exist today. Each solves part of the problem — and none records the decision.

Enterprise OMS & cloud platforms

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.

ERP + spreadsheets

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.

Data & Intelligence

Auditable AI that learns from itself

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.

Fulfilment Risk Prediction

Anticipates which orders are likely to miss their SLA.

Anomaly Detection

Flags unusual order or carrier behaviour as it happens.

Carrier Recommendation

Suggests the best carrier for each shipment, learned from outcomes.

Cost vs SLA Optimisation

Balances cost and service level on every allocation decision.

Fit For A Scoped Pilot

One decision layer. One real flow.

Scoped, with a real integration and comparable results — validated on one real flow, with KPIs agreed before we start.

Weeks

To first result on a scoped flow — not months

1

Platform, one integration, one scoped pilot

~4h

A week from your operations owner is all the pilot needs


One entry point for every order channel

Spare parts, service, plant demand, store replenishment and ERP orders all become one unified order.

Spare Parts
Service Orders
Plant & Site Demand
Store Replenishment
ERP
Built to plug into the systems you already run
ERP
WMS
TMS
Carriers & 3PL
Own Fleet
See It For Yourself

A closer look at the operating console

Screens from the pre-production build — the same product behind every screenshot on this page.

Order detail screen
Order Detail

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

Coverage matrix detail screen
Coverage Matrix Detail

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

Orders summary report screen
Orders Summary Report

A rollup view for the operations owner running the pilot.

About Us

Six people. Eighteen years on the warehouse floor.

Crifel is not a new team looking for a product. It is a product that outgrew the company that built it.

Meet the team →

Questions & Answers

Everything you need to know before booking a call.

1. What is Crifel?

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.

2. What is a "decision record"?

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.

3. How is this different from our ERP or OMS?
  • 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.

4. What do you need from us to run a pilot?

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.

5. Does this cover transport routing, supply chain planning, or both?

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.

6. What happens after the pilot?

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