Logistics is entering
its AI era.
Most executives know AI matters. The hard part is knowing where and how to apply it.
That is the work we do.
- AI billing automation
- Warehouse systems (WMS)
- AI training
- Operational automation
- Data & systems integration
- & more
An AI consulting company for logistics and supply chain software.
We handle training, strategy, and implementation. The work starts with the problem, not the technology.
What we build
AI and technology solutions for logistics and supply chain businesses. And we implement them, inside the operation, alongside the systems you already run.
How we start
By understanding the problem. That means AI training for your teams, or a structured assessment that finds where AI creates real returns, and in what order.
How we implement
We are not tied to one answer. We select off-the-shelf systems, extend the systems you already run, or build new. Whichever fits the problem best.
How far we go
Your decision. Some clients take the strategy and build with their own teams. Others ask us to deliver it, or to supervise the build. We stay flexible.
Most of the pain sits in the gaps between systems.
Six patterns we see across logistics businesses. We have dealt with every one of them inside live operations.
Systems that do not talk
Middleware breaks, and data is rekeyed by hand between systems that were never designed to work together. Every new connection becomes a project of its own.
Numbers that arrive too late
Performance becomes visible weeks after the month it describes, because every number is a small project. Decisions rest on instinct, or on last month’s view.
Commercial terms that live in email
Rates are agreed and revised in conversation, but never held anywhere an invoice can be built from. So billing runs late, wrong, or both.
Core systems that are hard to change
The products are capable but only partly implemented. Every change carries a vendor backlog, and spreadsheets run alongside to fill the gaps.
Post-merger estates that take years to converge
Acquired companies arrive with their own systems, data models and commercial formats. Meanwhile, the operation still has to run and bill every day.
AI that is sponsored but not used
Leadership backs it, but teams drop it once the pilot ends. The investment stalls at the demo stage, and the tools never reach daily work.
You can start small. We show you where.
We teach your people
Executive, team and department programmes, from the boardroom to the operations floor.
- Delivered personally by Denis and Pavan.
- People leave using AI daily, on their own work.
We find where AI pays off
A scored assessment across the operation, or a short discovery on one named problem.
- Findings ranked by return and effort.
- Every recommendation carries an expected return.
We build it into your operation
We extend what runs, connect what does not talk, and build new only where needed.
- Buy, configure or build, and we will say which.
- Modular and API-first, so it moves with your systems.
Four examples, and what each returned.
Built inside logistics operations. The numbers are the ones the operators reported.
Billing automation
87%Drop in overdue receivablesRate cards became formulas. Invoices match the contract, and clients pay on time.
Read case study
Workflow automation
3xCustomer volume the same team handlesAI agents took over the administration. Skilled people, back on skilled work.
Read case study
Rapid implementation
6 weeksFrom start to a full system runningAI collected the requirements and tested the system. The cost moved from a capital programme to an operating budget.
Read case study
AI training
3Programme tracksExecutives build their own tools. Teams use AI on their own work.
Read case study
More of what we build
- Operational email automationOperational inboxes read, classified and drafted by AI. The team reviews instead of typing
- CRMA CRM the sales team actually keeps current
- MiddlewareNew partner integrations in days, not projects
- Compliance automationAudit-ready all year, not once a year
- Warehouse system augmentationScreens and workflows the standard WMS lacks, built in days.
- Carrier EngineOne connection for customers and partners. The right carrier and rate on every parcel
We agree on a starting point: your people, the full picture, or a specific problem.
We can begin at any of the five stages below, whether or not you have started with AI. There is no end-to-end commitment. We can take over work already underway, and hand it back to your team or to someone else whenever you want.
- 01
Training
A custom executive, team or department programme.
You leave with
People who use AI, and usually a small working tool.
- 02
Assessment
A scored review across eight dimensions.
You leave with
A heatmap and, at depth, a ranked roadmap.
- 03
Discovery
A scoped problem becomes a defined project.
You leave with
A proposal with the expected return attached.
- 04
Selection
When a new system is the right answer.
You leave with
Buy, configure or build, and we will say which.
- 05
Implementation
Proof of concept, pilot, production.
You leave with
A working system inside the operation. It stays yours.
Start with your people
You want leadership and the team to see and use AI first. We start with a programme for your executives and the team.
You get
Leaders using AI on their own work, and a view of where to take it.
Start from the full picture
You are not sure where to start. We assess the whole operation and rank the problems by return.
You get
A heatmap, and a roadmap ranked by payoff.
Start from a problem
You know which problem costs you the most. We scope it and start there.
You get
A scoped project, with the expected return attached.
A conversation with Denis and Pavan to agree where we start and what the first piece of work covers.
Experts and operators, working with the people who lead the business.
Programmes are delivered personally by the two founders.
Denis Konoplev
CEO & Co-Founder
Four companies founded, two valued above USD 100m. Enterprise and government AI programmes since 2015.
- Founded a computer-vision company out of LSE research, since acquired.
- Entrepreneur in Residence at the Dubai Future Foundation accelerator.
- Leads AI training and tooling for executives across the RSA Global group.
Pavan Kumar T V
CTO & Co-Founder
25 years building and running technology organisations, from startups to 100-plus engineering teams.
- Machine learning in production since 2012, from forecasting to computer vision.
- Co-founded two startups. Led a 100-strong engineering team through an acquisition by Accenture.
- Technical due diligence for investors, and advisor to government-backed venture studios in Riyadh.
Discover the art of the possible.
Bring the problem that costs you most, or bring the whole picture. We will tell you where to start, and what it should return.