Berkshire Grey Announces Robots-as-a-Service (RaaS) for Scalable Robotics Solutions

Adopt Berkshire Grey’s RaaS now to scale your fulfilment footprint while controlling capital outlay. Early deployments show throughput gains up to 30% and daily labor reductions in the 20–40% range as teams replace repetitive tasks with predefined, robotic workflows. This approach maximizes asset utilization and accelerates growth by turning capital into a scalable service, not a fixed asset.

With RaaS, pomocou a predefined set of management dashboards, operators gain an accessible, real-time view of tasks, throughput, and sortation flows. The platform supports seasonal demand by dynamically adjusting the generovanie of robot assignments and scaling fleets without new hardware, reducing the footprint of peak seasons while preserving service levels.

The system’s sortation capabilities streamline goods movement, guiding robots to daily pick-and-pack tasks, carton sortation, and pallet handling. By collecting data across a generation of operations, managers learn which sequences maximize throughput and reduce error, enabling continuous improvement in a controlled, accessible way.

Companies can expect an enhanced experience for operators as interfaces simplify task scheduling and exception handling. The RaaS model also includes management services, remote monitoring, and ongoing software updates that maximize uptime and support scalable growth across multiple facilities, from urban DCs to regional hubs.

For teams evaluating automation, start with a predefined rollout plan: select a single fulfilment zone, map repetitive tasks, and align metrics to daily throughput, accuracy, and cycle times. Phased expansion can extend the solution to sortation lanes, order consolidation, and seasonal peaks, with predictable costs and a clear footprint of services.

Overview of Berkshire Grey’s RaaS for Scalable Robotics Deployment

Begin with a modular RaaS pilot in a single industrial warehouse to prove ROI and establish a reliable baseline. Deploy onetouchdistribution to streamline inbound processes and set up pick-to-light to boost picking accuracy from day one. This approach provides clear support for developing a scalable workflow that can be replicated across facilities.

The orchestrated automation layer runs on a dynamic grid of slots and devices, delivering reproducible throughput as volumes fluctuate. The latest modules introduced by Berkshire Grey that integrate with your WMS and ERP provide seamless integration and real-time feedback to managers. This visibility helps reduce drops and keep operations accessible to staff at all levels.

Selecting the right starting SKUs and processes matters. Focus on high-frequency, high-value items, then expand to lower-velocity lines. A three-phase rollout–calibrate, validate, and scale–keeps the grid balanced and prevents overcommitment. According to источник, Berkshire Grey’s approach minimizes risk while delivering measurable gains in throughput and accuracy.

Operational benefits include boosted throughput, improved labor utilization, and a smaller automation footprint in warehouses. The system supports developing a reusable automation layer that can be configured for different layouts and product mixes, with drops in order handling errors and faster replenishment cycles. Accessible interfaces and onetouchdistribution workflows allow teams to manage changes without extensive retraining, while a modular design enables rapid expansion to additional facilities.

Next steps involve locking in a three-to-six-week pilot window, mapping KPIs, and planning a multi-warehouse rollout. Ensure ongoing integration with existing systems, provide ongoing training, and schedule quarterly updates to align with the latest industrial automation capabilities. This strategy helps facilities downsize risk while delivering a scalable, distributed automation backbone.

Operational impact on warehouse operations and order fulfillment

Begin with a phased RaaS rollout focused on high-volume lifting and put-away tasks to lift throughput by 20-35% in the first quarter. This approach reduces labor variability and frees your team to handle exception handling and replenishment more effectively. It also accelerates order cycles and improves accuracy across ranges of SKUs.

1. Throughput, cycle times, and accuracy: In representative brownfield sites, an integrated goods-to-robot line reduces walking and item search, delivering 1.5x–2.2x throughput uplift and 15–40% faster average order cycle times. Pick accuracy improves toward 99.5% when robots confirm item location before lift, and the system provides real-time information about remaining workloads for each zone.

2. Labor roles and individual tasks: Human workers shift to supervision, exception handling, and health and safety monitoring. They supervise the line, intervene only on rare outliers, and handle replenishment alongside robot-led tasks. This part reduces fatigue from lifting heavy pallets and allows your operators to adapt to peak workloads more smoothly alongside automated support.

3. Pallet handling and SKU ranges: The combined goods-to-robot and pallet-handling flows support a broader range of SKUs–from slow-moving items to fast movers–covering mexican facilities and multinational ranges. The operator ensures pallets are staged at the designated bay; robots pick and place along the line, reducing cross-docking times.

4. Data integration, information flows, and southbound interfaces: The integrated system provides southbound data to the WMS and ERP, with information available in real time to planners. This enables better load balancing across shifts and allows you to adapt to abrupt changes in demand. It also introduces a feedback loop that informs restock decisions and slotting.

5. Brownfield deployment, mexican facilities, and scalability: RaaS enables scalable deployments by adding or removing robot units to align with workloads. In multi-site networks including mexican warehouses, you can convert brownfield floorspace to goods-to-robot lines without large capex. The platform provides predictable capacity and supports quick ROI when paired with proven software and hardware integration.

6. Health, safety, and leave: Health and safety improvements come from reduced lifting and fewer repetitive actions. The system supports supervisors by providing clear status indicators and alarm management; your teams can leave manual heavy-lifting to the robots while maintaining ability to respond quickly to exceptions. This reduces injury risk in dense layouts and supports continuous operation alongside human workers.

RaaS platform architecture and system integrations

Recommendation: Deploy a modular, API-first RaaS platform with a centralized control plane and edge compute to keep latency low and footprint lean. nasdaq-listed Berkshire Grey announces RaaS for scalable robotics solutions, and this approach prioritizes integrated workflows across inbound, putaway, picking, and outbound shipping. Use a vendor-agnostic integration layer to connect WMS, ERP, and TMS without bespoke rewrites, and design for rapid onboarding of new applications from the front end to the dock.

Architecture builds on a microservices stack with a persistent data fabric and an event-driven backbone. A centralized control plane coordinates demand signals, while edge nodes near the dock run cobots and sensing workloads to reduce latency. An integrated security model with RBAC, TLS, and audit trails protects data, and supports multi-tenant deployments with strict separation. The result is a resilient system that preserves throughput across sites and sustains an industrial robotics experience.

System integrations cover inbound and outbound workflows and cross-functional layers. Tie the RaaS platform to WMS for auto task creation, to ERP for objednávanie and invoicing, and to TMS for transportation planning. Build connectors that handle mexican store networks and cross-border orders with translations and currency handling. Design for cobot orchestration in grocery and general retail applications, with kontakt center integration for inquiries and real-time status updates. Include APIs to expose applications for developers and partners, enabling inbound inquiries and rapid objednávanie from merchants.

From a development perspective, keep the footprint lean by adopting containerized services and a shared data model. Align with a clear vendor roadmap and Alstine’s integration program to maintain consistency across sites. Track metrics like cycle time, yield, and robot utilization to improve and optimize. This approach keeps the experience consistent for grocery chains and industrial facilities and supports scalable deployment across multiple markets, including nasdaq and global operations.

Pricing models, service levels, and contract terms

Recommendation: Start with a tiered RaaS contract that blends a competitive fixed platform fee with usage-based charges, and embeds consulting and upgrade options to enable brands to realize stable costs while sustaining dynamic throughput.

Pricing models combine a competitive base platform fee with usage-based charges tied to parcels processed and modules activated. The base fee covers the central control hub and the product’s core modules, while per-parcel rates decrease as volume rises across bands (for example 0–10k, 10k–50k, and 50k+ parcels monthly). Add-on modules include enhanced analytics, automated replenishment, sortation, and outbound/inbound workflows. A consulting package accelerates network design, line balancing, and workforce planning, enabling your team to realize faster ROI.

Service levels are offered in three tiers: Gold, Silver, and Bronze. The central SLA targets uptime of 99.9% monthly and a clear MTTR path: Gold 4 hours, Silver 12 hours, Bronze 24 hours. On-site response windows range from 2 business days for Gold to 7 business days for Bronze. Data access includes retrieval of operational data with weekly dashboards and monthly exports of retrieved metrics. A human-in-the-loop option is available for exception handling, while the automated system continues to operate at high performance. All tiers include dedicated consulting team support for optimization and changes in flows as volumes rise.

Contract terms favor long-term partnerships with clarity: 3- to 5-year terms with possible renewal options and a defined change-control process for scope or module additions. Price escalators tied to CPI or fixed 2–3% annual increases are disclosed up front. Exit rights cover data retrieval, export of configurations, and transition assistance to an alternate provider, ensuring the entire handover is seamless. Intellectual property around custom configurations remains with the client, while Berkshire Grey retains rights to the standard platform libraries.

Product strategy centers on an integrated platform that anchors all operations in a central workspace. Modules span picking, packing, sortation, palletizing, inbound/outbound, and yard management, with tight ERP/WMS integration. Enterprises can manage changes via a single interface, enabling unified visibility across brands and facilities. Performance dashboards and retrieved performance data drive continuous improvement for the human and automated team alike, while new generation robots plug into the existing modules without disruptive deployment.

Commercial approach emphasizes flexibility and value: multi-site deployments qualify for volume discounts, while standard terms reduce risk for both sides. Bundled services mix consulting, training, and ongoing optimization into a single commercial package, ensuring every parcel operation–from parcels to pallets–operates with enhanced efficiency. A general framework supports changes in volume, SKUs, and network design, ensuring the solution scales with your business needs.

Adopting this structure increases predictability, strengthens the performance trade-off for all parties, and enables rapid iteration as your automation strategy matures.

Bezpečnosť, ochrana osobných údajov a regulačné hľadiská

Zaveďte ochranu súkromia už od návrhu s auditovateľnými kontrolami vo všetkých nasadeniach bgry RaaS a vytvorte jasný model zdieľanej zodpovednosti medzi spoločnosťou Berkshire Grey a zákazníkmi. Definujte, kto spracúva údaje, kto rieši incidenty a ako sa udeľuje prístup, čím sa zabezpečí ochrana prístupných funkcií s podporou umelej inteligencie bez toho, aby sa skomplikovali pracovné postupy operátorov.

Riešte neistoty v toku dát implementáciou minimalizácie dát, pseudonymizácie a šifrovania uložených a prenášaných dát. Vytvorte diagramy toku dát pre prostredia dátového skladu s jasným oddelením zdravotných údajov a iných citlivých informácií a udržiavajte nemenné audítorské záznamy na podporu sledovateľnosti. Chráňte ochranné známky a iné aktíva duševného vlastníctva ako súčasť riadenia platformy, aby riešenie zostalo dôveryhodné pre prevádzkové tímy aj vedúcich pracovníkov.

Regulačná zhoda vyžaduje mapovanie kontrol s cieľom dosiahnuť súlad s nariadeniami GDPR/UK GDPR, CPRA, HIPAA v prípadoch, keď sú spracúvané zdravotné údaje, a so štandardmi špecifickými pre dané odvetvie v dodávateľských reťazcoch. Používajte DPIA tam, kde je to vhodné, a definujte cesty umiestnenia údajov pre cezhraničné prenosy. Udržiavajte formálny proces riadenia rizík dodávateľov pre technológie tretích strán a cloudové služby integrované do riešenia a priebežne aktualizujte zmluvy o spracúvaní údajov so záväzkami týkajúcimi sa oznamovania incidentov a postupmi eskalácie.

Bezpečnosť a riadenie uprednostňujú identitu, prístup a ochranu údajov vo všetkých činnostiach. Implementujte MFA, RBAC a just-in-time prístup pre kritické funkcie, so šifrovaním údajov v pokoji aj počas prenosu a s rutinnou rotáciou kľúčov. Udržiavajte komplexné auditné záznamy a nasadzujte priebežné monitorovanie hrozieb, správu zraniteľností a pravidelné penetračné testovanie. Zosúlaďte školenia a prevádzkové postupy s plánmi rastu s cieľom zlepšiť pripravenosť ľudí a znalosti technológií, pričom sa zamerajte na prebiehajúce zmeny v technológiách a procesoch v skladoch a logistických prevádzkach.

Cesty k trvalému dodržiavaniu predpisov si vyžadujú transparentnú dokumentáciu, dostupné zásady a priamočiare možnosti kontroly údajov pre zákazníkov. Poskytujte jasné žiadosti o prístup k údajom, možnosti správy súhlasu a pracovné postupy odstraňovania, ktoré sú podporené príručkami reakcie na incidenty s definovanými rolami a časovými rámcami. Klasifikujte údaje do špeciálnych kategórií, ak je to potrebné, a zodpovedajúcim spôsobom uplatňujte zvýšenú ochranu, pričom chráňte svoje ochranné známky a integritu značky vo všetkých dohodách so zákazníkmi a podmienkach používania údajov.

Pilotné programy, harmonogramy zavádzania a kroky registrácie zákazníkov

Spustite pilotný projekt na troch miestach so 4-týždňovým nábehom a 6-týždňovým vyhodnocovacím oknom na preukázanie návratnosti investícií. Zriaďte centrálnu kanceláriu riadenia programu, zosúlaďte sa s požiadavkami zákazníkov a používajte rovnaký základ vo všetkých lokalitách. Tento prístup prináša lepšie výsledky vďaka dátam smerovaným z on-site senzorov do edge počítača a vrstiev centrálnych služieb, čo umožňuje rýchlu spätnú väzbu a znižuje neistoty. Plán by mohol zahŕňať alternatívne konfigurácie, ak niektoré miesto nedosahuje očakávané výsledky.

Nasaďte tri úrovne automatizácie: základnú pre bežné vyberanie a zdvíhanie, pokročilú pre ťažšie zdvíhanie a väčšiu prevádzku a optimalizovanú pre kubickú priepustnosť. Každá úroveň využíva štandardizovaný hardvér a softvérové moduly, takže rovnakú konfiguráciu možno nájsť na rôznych miestach, pričom zostáva jedinečná pre dané prostredie. Naskenované čiarové kódy a senzory v reálnom čase smerujú do počítačom riadenej regulačnej slučky, smerovanej do centrálnej servisnej vrstvy, pričom vozíky asrsshuttles presúvajú prepravky medzi zónami. Táto štruktúra podporuje postupné zvyšovanie výkonu a poskytuje manažmentu prehľad o úzkych miestach.

Zavedenie prebieha v troch fázach: Fáza 1 zahŕňa prípravu lokality, školenie a integráciu (4 týždne); Fáza 2 zahŕňa živú prevádzku s kontrolovanou skladbou objednávok (6 týždňov); Fáza 3 sa rozširuje na ďalšie linky a produktové rady (8 týždňov). Časový plán je zameraný na 2 – 3 týždne na zapojenie danej lokality, s týždennými kontrolami na sledovanie času potrebného na dosiahnutie hodnoty a úpravu predpokladov. Používajte zdieľaný panel na monitorovanie priepustnosti, chybovosti a prevádzkyschopnosti; snažte sa dosiahnuť 15 – 25 % nárast času na lokalitu medziročne.

Krok 1: Zahájenie so zainteresovanými stranami na zosúladenie cieľov, bezpečnosti a zdieľania údajov.

Krok 2: Skenovanie východiskových údajov a pripravenosť siete na potvrdenie smerovania prenosu a šírky pásma.

Krok 3: Mapovanie systémovej integrácie a kontroly kompatibility so skenovanými inventármi.

Krok 4: Školenie operátorov a plán riadenia zmien na zabezpečenie hladkého prijatia.

Krok 5: Prechod do ostrej prevádzky s postupným odovzdaním a dashboardmi pre priebežné monitorovanie.

Krok 6: Preskúmanie po implementácii s cieľom zachytiť získané poznatky a spätne ich zapracovať do ďalšieho zavedenia.

Na zvládnutie neistôt implementujte plán riadenia rizík s jasnými kritériami prijateľnosti, postupmi eskalácie a rezervou náhradných dielov. Pre kritické komponenty udržiavajte aspoň dve zálohy a zabezpečte ochranu osobných údajov v každom prostredí. Sledujte metriky, ako je vyššia priepustnosť a spoľahlivosť automatizácie; monitorujte výkon centrálnych služieb a upravujte požiadavky podľa potreby. Po registrácii formalizujte cyklus neustáleho zlepšovania, aby zákazníci mohli zo služby získať vyššiu hodnotu.