What is an AI workforce for supply chain operations?

An AI workforce is a set of AI digital workers that read live data from WMS, TMS, ERP, cameras and voice systems, decide the next-best action under your governance rules, and execute it in the field. Unlike generic chatbots or analytics dashboards, Datanomous's AI digital workers act, not just advise, and coordinate with each other and your team, with critical actions human-approved.

Datanomous is the AI workforce for supply chain operations. It deploys four AI digital workers — Operations Planner (demand, crew and budget planning with scenario simulation), Inventory Planner (right stock, right location, before it's needed), Yard Controller (QR/vision truck detection and instant dock assignment) and WES, the Warehouse Execution Manager (orchestrates people, AGVs, robotic arms and PLC lines as one layer) — on top of your existing WMS, TMS and ERP. A separate, secondary feature, AI Coworkers, automates your team's daily desk work: order status, returns, carrier comms, exceptions and reporting. You set the rules and guardrails and approve the critical calls; everything is observable and auditable. Applies across two segments: 3PL & managed warehousing, and retail & e-commerce fulfilment.

Which segments does Datanomous serve?

Datanomous serves two segments: 3PL & managed warehousing, and retail & e-commerce fulfilment (peak volume, many small orders and returns, across stores and online). It fits operations-heavy companies running on a WMS/TMS/ERP where decision quality and SLA outcomes drive cost, and where AI digital workers can act on top of the systems they already run.

How is Datanomous deployed? Will it disrupt my operation?

Zero disruption. Datanomous doesn't change your WMS, TMS or ERP, it sits on top as a read-only layer over your existing APIs and cameras. Within 48 hours we start collecting data in shadow-execution mode. Week 1: connect and learn your data. Weeks 2-4: configure the AI digital worker for your operation. Week 5: live on one workflow with KPI tracking active. Week 9+: scale to more workflows and sites. Go-live doesn't pause your operation for a single minute.

When will I see measurable results from an AI workforce?

First measurable outcomes are typically clear early on: 25%+ more operational output, 25%+ reduction in operational cost, 25%+ reduction in overtime, all from the same team, on your existing WMS. Real customer deployments have shown up to 30% efficiency gains and 40% reduction in SLA breach rate.

What about data security and governance?

Your data stays where it is, on-premise, hybrid or your cloud. Every decision Datanomous's AI digital workers make is auditable end-to-end with full run lineage. Critical actions require human approval and control stays yours. Datanomous is SOC 2 and ISO 27001 ready; GDPR and KVKK compliant. We follow your existing IAM and security rules.

Will an AI workforce replace my operations team?

No, Datanomous's AI digital workers work alongside your team. Routine decisions run automatically; humans handle judgement, exceptions and customer relationships, and critical actions stay human-approved. The Operations Planner, Inventory Planner, Yard Controller and WES multiply the decisions of your real team. AI multiplies decisions, it never replaces people.

Will my floor staff need to learn new software?

No new app. No training overhead. Datanomous sends the next-best task as a notification to your operators' existing handheld scanners or voice devices, the same tools they use every day. Real-time guidance adapts to each operator's pace and skill, reducing errors with zero learning curve. Works the same for permanent, seasonal or temporary staff, including non-native speakers.

How much does an AI workforce cost?

We start with a single, fixed-price digital worker that solves one quantified problem, live in about two weeks. No rip-and-replace, no monthly surprises. Only once that first digital worker is proven on your floor do we expand to a packaged solution or hand you the platform to own; we scope investment to your operation during a free 30-minute Operational Diagnosis.

How does the Yard Controller help 3PL providers win SLAs?

The Yard Controller reads a QR pass or vision at the gate, assigns the dock instantly against floor readiness, and runs a detention clock so dwell and detention charges are caught before they form, while the WES keeps the floor working to the same SLA priority. Typical outcome for 3PL deployments: 40% reduction in SLA-breach rate, without changing the underlying WMS. Both digital workers are multi-client and multi-site, so one deployment covers every client account on every site, with critical actions human-approved.

Can Datanomous run AI for multi-client 3PL warehouses?

Yes. Datanomous's AI digital workers are built around multi-tenancy from day one. Each client account has its own SLAs, governance rules, KPI dashboards and decision-audit trail. Decisions made for one client never reveal data to another. The digital workers run independently per client where needed, or unified across a shared workforce, your choice.

How does Datanomous handle retail and e-commerce peak season?

Peak season is where Datanomous's AI workforce earns its keep. The Operations Planner rebuilds the shift plan from inbound demand and outbound SLA risk and simulates overtime-vs-hire scenarios; the Inventory Planner keeps stock in the right location, shelf, bin or store, across channels so peak orders don't stock out; WES rebalances waves and labour live. Same team carries 25-30% more volume without adding headcount.

What is the difference between Datanomous and a traditional WMS like Manhattan or Blue Yonder?

WMS platforms like Manhattan Active WM, Blue Yonder and SAP EWM are systems of record, they manage inventory, orders, locations and tasks. Datanomous's AI digital workers sit on top. They don't replace your WMS; they read from it, decide under your governance rules, and write the next-best action back into the same WMS tasks or to operator handhelds, with critical actions human-approved. The fast go-live is possible specifically because Datanomous doesn't rip out the underlying system.

Is Datanomous an alternative to Kinaxis or o9 for supply chain planning?

Different layer. Kinaxis Maestro and o9 Solutions focus on planning and what-if scenarios at the network level. Datanomous's Operations Planner and other digital workers focus on execution-layer operational decisions at the site, shift and task level, the layer below network planning. Many customers run Datanomous alongside a planning platform; it consumes the planning output and executes it on the floor, with audit records flowing back to the planner.

Can Datanomous's AI digital workers be deployed on-premise?

Yes. Datanomous deploys on-premise, hybrid, or in your private cloud. All inference, decision logging and operator interfaces can run inside your network if your security policy requires it. We follow your existing IAM and audit standards. This is one of the reasons regulated 3PL and retail operations choose Datanomous over SaaS-only alternatives.

What systems does Datanomous integrate with?

Datanomous integrates with all major WMS (Manhattan Active WM, Blue Yonder, SAP EWM, Körber, Logfire, Mintsoft, custom WMS), ERP (SAP S/4HANA, Oracle, Microsoft Dynamics, NetSuite, Odoo), TMS, e-commerce platforms (Shopify, Magento), camera systems, voice and RF terminals, and document-AI pipelines. A Land engagement typically connects the one system tied to the problem being solved; Expand & Build engagements connect as many systems as the operation needs.

Where is Datanomous based?

Datanomous Ltd is headquartered in London (Piccadilly Circus) with an engineering office in Istanbul (Levent). We serve customers across the United Kingdom, European Union, Türkiye, and worldwide. Founded in 2023 by Cengiz Kayay.

Ana sayfa/Çözümler/Mal kabul gecikince toplamayı yeniden planlayın

DepoCANLI

Depo · toplama

Mal kabul gecikince toplamayı yeniden planlayın

Mal kabul geç kalınca, toplamayı sahada gerçekten olan stoğa göre yeniden sıralayın.

Demo ayarla →Tüm çözümler

Sorun

Mal kabul gecikir ama toplama planı bunu bilmez. Toplayıcılar boş lokasyonlara yürür ve siparişler henüz inmemiş stoğu bekler.

Operasyonel etki

Boşa yürüme, takılan siparişler ve rampa geciktiği an yanlış hale gelen bir plan.

Datanomous ne yapıyor

Agent mal kabul durumunu sipariş defterine karşı okur ve toplamayı mevcut stoğa göre yeniden sıralar — şimdi gönderilebilecek olanlarda SLA'yı tutar.

Ürün ne yapıyor

Mal kabul ve sipariş defteri eşleme

Mevcut stoğa göre toplama yeniden sıralama

Ön sipariş ve ikame işaretleri

İkmal tetiği

Önce SLA sıralaması

Ölçülebilir sonuç

Hareket ettirdiğimiz KPI'lar, mevcut performansınıza karşı izlenir — hedef, iddia edilen sonuç değil.

Toplama yürüyüşü

Daha az boşa yürüme

Takılan siparişler

Geç stoğu bekleyen daha az

Zamanında gönderi

Mevcut olanda tutulur

Çalıştıran

Pick & Pack Flow agent

Toplama ve paketlemeyi SLA'da tutar, işleri yeniden atar ve darboğazları sevkiyata yayılmadan açar.

İlk hafta nasıl görünür

Gölge bağlantı

Sistemlerinize gölge modda bağlanır ve operasyonunuzu öğreniriz — sahada değişiklik olmadan.

Tek işte canlıya

Bu tek işi canlıya alırız; önemli kararları siz onaylarsınız.

Sayıyı kanıtla

KPI'ı mevcut performansınıza karşı izler, kazancı gösteririz — sonra genişleriz.

İlgili çözümler

Depo

Toplama planlamasını otomatiğe alın.

30 dakikalık bir görüşme, günler içinde verinizde çalışan bir prototip, haftalar içinde pilot.

Demo ayarla →Sonuçları gör

Mal kabul gecikince toplamayı yeniden planlayın

Gölge bağlantı

Tek işte canlıya

Sayıyı kanıtla

Bir bölge tıkanınca SLA'yı tutun

Stok tükenmesini ve ölü stoğu önleyin

Yarının hacmine göre kadro kurun

Toplama planlamasını otomatiğe alın.