Industry Supply Chain & Logistics

Visibility, speed, and
zero blind spots
across your supply chain.

We build the technology that gives logistics operations real-time control - from warehouse floor to last-mile delivery. Not dashboards full of data nobody acts on, but systems that surface the right information to the right person at the right moment.

40+ Logistics clients
$320M+ Goods tracked daily
99.4% Avg shipment accuracy
6mo Avg ROI payback

The cost of supply chain blind spots isn't theoretical.

Every hour of delayed visibility is an hour where teams make decisions based on stale data - and those decisions compound. The numbers below reflect what poor supply chain technology actually costs.

$184B Lost annually to global supply chain disruptions
3–5% Average revenue lost to inventory inaccuracy
62% Of supply chain leaders say visibility is their top challenge
23 days Average time to detect and resolve a supply chain disruption

Six systems that give logistics
operations genuine control.

Off-the-shelf logistics software handles the average case. We build for the complexity your operation actually has - the edge cases, the legacy integrations, the three carrier systems that don't talk to each other.

02

Warehouse Management System (WMS)

Purpose-built WMS deployments designed around your warehouse layout, picking strategy, and labour model - not a generic system you customise to 80% fitness. We build slotting optimisation, directed putaway, and wave planning into the core.

Directed putaway and pick path optimisation
Wave, batch, and zone picking strategies
RFID and barcode scanning integration
Labour management and performance tracking
Yard management and dock scheduling
03

Demand Forecasting & Inventory Optimisation

ML-driven demand forecasting that accounts for seasonality, promotions, supplier lead times, and external signals - not just historical averages. The goal is the right stock level at every node without tying up excess working capital.

Multi-echelon inventory optimisation
Probabilistic demand models with confidence intervals
Supplier lead time variability modelling
Slow-mover and dead-stock identification
Safety stock calculation by SKU and location
04

Last-Mile Delivery Optimisation

Route planning, dynamic resequencing, proof of delivery, and customer notification systems that reduce delivery cost per parcel while improving the recipient experience - which matters because failed first-attempt deliveries are expensive.

Dynamic route optimisation with live traffic
Driver app with offline capability
Real-time customer notification and ETA tracking
Electronic proof of delivery with signature and photo
Failed delivery management and redelivery scheduling
05

Freight & Carrier Management

Carrier rate shopping, tender management, and freight audit across your carrier base - with contract compliance monitoring that catches billing discrepancies before they become accepted costs.

Multi-carrier rate comparison and tender automation
Contract compliance monitoring and exception flagging
Freight audit and payment automation
Carbon emissions reporting per shipment
Carrier performance scorecards and SLA tracking
06

Supplier & Procurement Visibility

Purchase order tracking from confirmation to goods receipt, with supplier performance measurement that gives procurement teams the evidence they need for commercial conversations - not just anecdotal late deliveries.

PO lifecycle tracking with milestone alerts
Supplier on-time and in-full (OTIF) scorecards
ASN and goods receipt reconciliation
Supplier portal for document submission and communication
Risk monitoring for single-source dependencies

The five problems we hear on
every first call with a logistics team.

These aren't edge cases. They're the operational reality for most logistics businesses running software that was fit for purpose five years ago and isn't anymore.

The Problem
We only find out about delays when the customer complains.

You're operating on carrier notifications and manual check-in calls. By the time you know there's a problem, the SLA is already breached and the customer has already called.

The Solution
Proactive exception detection before customers feel it.

Real-time tracking with predictive alerting fires 4–6 hours before a delivery is at risk - giving operations time to reroute, expedite, or proactively communicate. Customers get notified automatically. Your team responds to fewer escalations.

The Problem
Our inventory data is always slightly wrong, so nobody trusts it.

A small percentage of stock location errors compounds over time into a significant mismatch between system inventory and physical inventory. Teams run manual counts that are out of date as soon as they're complete.

The Solution
Real-time inventory accuracy with directed reconciliation.

Cycle count programmes, RFID-assisted location verification, and exception-based discrepancy management keep inventory records accurate continuously - not just at year-end. When the WMS and ERP agree, people make better decisions.

The Problem
We're carrying too much stock in some locations and not enough in others.

Demand planning is done in spreadsheets, and the model doesn't account for lead time variability or promotional uplift. You end up over-stocked in slow markets and short in fast ones - simultaneously.

The Solution
Network-level demand forecasting with dynamic safety stock.

ML-driven forecasts that account for location-level demand, supplier lead time distributions, and planned promotions. Safety stock targets are set per SKU per node - not applied as a flat days-of-cover rule across the whole network.

The Problem
Our carriers are billing us incorrectly and we're not catching it.

Freight invoices are high-volume and complex enough that manual audit is impractical. Studies consistently show 3–8% of freight invoices contain errors - and most go unchallenged because nobody has time to check.

The Solution
Automated freight audit with contractual rate comparison.

Every carrier invoice is automatically compared to contracted rates, accessorial charge rules, and service level commitments. Discrepancies are flagged before payment rather than disputed after. Clients typically recover 3–5% of freight spend in the first year.

The Problem
Our three systems don't talk to each other, so someone is always manually moving data.

A TMS, a WMS, and an ERP that weren't designed to integrate create data silos where the same information lives in three places - sometimes differently. The human connecting them becomes a bottleneck and a single point of failure.

The Solution
Integration layer that makes your existing systems work together.

We build the middleware and API orchestration that connects your carrier systems, warehouse platform, and ERP - so data flows automatically, people don't re-key, and a single source of truth exists for the things that matter.

What changes when the
data is actually reliable.

These figures come from measured outcomes across 40+ logistics engagements - averaged, not cherry-picked.

97% Avg on-time delivery rate post-implementation (up from 81%)
34% Average reduction in safety stock without service level impact
$2.1M Average annual freight spend recovered through automated audit
68% Reduction in manual data entry across integrated operations
4.2× Faster exception response time with automated alerting
6 months Median payback period across all platform implementations

Built to integrate with what
you already run.

We're not replacing your ERP. We're building around it - connecting the systems you have, filling the gaps they leave, and creating the visibility layer that ties it all together.

ERP & Core Systems
SAP S/4HANA & ECC
Oracle SCM Cloud
Microsoft Dynamics 365
NetSuite
Infor CloudSuite
Custom ERP integration
Transport & Carrier
MercuryGate TMS
Manhattan TMS
Project44 (tracking API)
Shippeo & FourKites
200+ carrier EDI connections
Royal Mail, DPD, UPS, FedEx, DHL
Warehouse & Fulfilment
Manhattan WMS
Blue Yonder WMS
Körber (HighJump)
Infor WMS
Custom WMS on AWS
Zebra & Honeywell scanner integration
Data & Intelligence
Databricks (ML platform)
dbt + Snowflake / BigQuery
Apache Kafka (event streaming)
Python / scikit-learn / XGBoost
Grafana & Power BI dashboards
Azure OpenAI for exception classification

Three starting points.

Supply chain projects have long tails. We scope clearly, deliver in phases, and make sure each phase proves its value before the next one is approved.

Operations Assessment

2–3 weeks · Fixed scope

A structured review of your current technology stack, data flows, and operational pain points. We interview your team, map your process landscape, and deliver a prioritised technology roadmap with realistic cost and timeline estimates.

  • Process mapping across all operations
  • Technology gap analysis
  • Vendor landscape review
  • Prioritised business case per initiative
Get Started
Most Popular

Platform Build

12–24 weeks · Phased delivery

End-to-end implementation of a supply chain visibility or WMS platform - scoped in phases so you see value before full investment. Each phase has defined business outcomes, not just technical deliverables.

  • Phased delivery with business case gates
  • Integration to your existing ERP and carriers
  • Change management and team training
  • Hypercare period and SLA-backed support
Get Started

Integration & Data Programme

8–16 weeks · Fixed scope

If your systems exist but don't talk to each other, this is the right starting point. We build the integration layer that connects your TMS, WMS, and ERP - then add the visibility and analytics layer on top.

  • API and EDI integration architecture
  • Data normalisation and master data management
  • Real-time data pipeline on Kafka or Pub/Sub
  • Operational dashboard in Grafana or Power BI
Get Started

Questions before you commit

Straight answers about supply chain technology projects - timelines, integrations, and what actually makes them work. Anything else? Ask us directly.

6 months
Median payback period across all supply chain implementations - based on 40+ client projects.
Almost always alongside them, not instead of them. Replacing a live TMS or WMS is a significant operational risk - and it's rarely the right starting point. We typically build around your existing systems: connecting them, filling visibility gaps, and adding the intelligence layer they lack. If an existing system genuinely needs replacing, we'll say so and help scope the replacement - but we don't start there by default.
We maintain pre-built EDI connections for 200+ carriers including DHL, FedEx, UPS, Royal Mail, DPD, Evri, and most major road freight carriers. Where a carrier doesn't have EDI, we integrate via API, email parsing, or scraping as a last resort. Carrier integration is genuinely the most time-consuming part of supply chain projects - if you have existing EDI connections through a VAN provider, we can use those as a starting point. If you're building from scratch, we'll be honest about the timeline.
A focused visibility programme - connecting your existing systems and building a real-time operations dashboard - typically runs 12–16 weeks from kick-off to production. A full WMS implementation is longer: 16–28 weeks depending on warehouse complexity, the number of sites, and integration scope. We deliver in phases so you're not waiting six months for value. Phase one typically delivers live shipment tracking within 6–8 weeks.
Honestly, it depends on the spreadsheet. For simple, stable demand patterns with few SKUs and no promotional calendar, a well-maintained spreadsheet is hard to beat. For anything above 500 SKUs, multiple demand signals (seasonality, promotions, channel mix), and multi-echelon inventory networks - ML-based forecasting consistently outperforms human judgment at scale. The gains are largest at the tail: slow-moving SKUs that humans tend to over-stock and fast movers that get caught short.
It depends on the carrier and the technology used. GPS-based tracking from telematics units updates every 1–5 minutes. Carrier API polling typically returns data every 15–30 minutes. EDI milestone events (in transit, out for delivery, delivered) are event-driven but may have hours of lag depending on the carrier's systems. We're clear about the latency characteristics of each data source upfront - "real-time" means different things in different contexts, and overpromising on tracking frequency is one of the most common vendor mistakes in this space.
Carefully and in stages. We start with an audit of your existing data quality - because migrating bad data is worse than starting with clean data and limited history. Historical shipment and inventory data is validated, mapped, and loaded in parallel with the new system rather than as a cutover event. We've migrated from SAP, Oracle, and a range of legacy systems - the migration approach is always documented and agreed before we start, not figured out mid-project.
Multi-tenant architecture is a first-class consideration for 3PL platforms, not an afterthought. Data isolation, client-specific reporting, configurable billing rules, and white-label client portals are all standard parts of our 3PL engagements. We've built platforms managing 15–40 concurrent client operations. The complexity is in the billing and reporting layer - client SLA monitoring and the commercial reconciliation workflows take as long to build as the operational visibility itself.
A structured hypercare period of 30–60 days where our team is actively involved in monitoring, handling incidents, and tuning system behaviour based on real production data. After hypercare, we transition to a support model that matches your needs - SLA-backed managed support, a named engineer on retainer, or handover to your internal team with full documentation. We don't design systems that require Sequere to operate them forever. Your team should be able to own what we build.

See exactly where your
supply chain is losing time and money.

Book a free 45-minute operations review call. We'll ask about your current technology stack, the specific problems your team deals with daily, and what good looks like for your operation - then tell you how we'd approach it and what it would realistically cost.

Book a Free Operations Review
No commitment required
NDA available before the call
Initial assessment within 48 hours