Process Mapping
We map your ops — every handoff, every wait, every system that doesn't talk to the next. Bottlenecks and fragmented data surface on their own.
A unified data layer is what makes agentic AI succeed inside a company. We build that layer first — then a team of agents runs on it, processes accelerate, and speed becomes sales.
We map your ops — every handoff, every wait, every system that doesn't talk to the next. Bottlenecks and fragmented data surface on their own.
Most systems weren't built for agents. We develop the layer on top — one unified data layer, with custom ports into your ERP, WMS and files — that lets agents actually deliver value.
A team of specialised agents runs on that layer — importing, enriching, resolving conflicts, reserving stock. Processes accelerate, and speed becomes sales.
You ask from our platform or from the tools you already use — Slack, Teams, email. Behind it, specialised sub-agents work on one unified data layer, synced with your systems.
“A truck with 4,000 pieces left the supplier. What can we already sell?”
“Which stock has been sitting too long — and who do we push it to?”
“Supplier B just offered 3,000 mixed items. Worth buying?”
The single access point. Ask from the dPulses platform or from the tools you already use — and the right sub-agent picks it up.
Network 360 trades B2B fashion stock: hundreds of thousands of items arriving as messy, multilingual supplier files, sitting in warehouses waiting to be understood. We built Atlas — a unified data layer with a team of agents on top. This is what changed.
€370k+
first 60 days after production release
daysmin
time to a ready-to-send offer
2 min10 s
12x — barcode + labels per garment
A sales offer with images, clean data and sizes used to take days of manual work. On the unified data layer it goes out in minutes — and rich offers convert into orders.
A brand sat idle in the warehouse for months. Qualified data and photos turned it into a five-figure order — confirmed in 3 days.
Barcode recognition and label printing per garment dropped from 2 minutes to 10 seconds. Nobody planned this module: clean, centralised data simply made it possible.
The goods data reaches the warehouse before the truck does.
Sales teams make offers on incoming goods — sold before they're even unloaded.