This assessment helps COOs and Warehouse Managers map the critical integration layer between enterprise software and physical automation in micro-fulfillment centers (MFCs) and dark stores.
Company name
Primary retail vertical(s)
Total SKUs currently fulfilled
Average daily order volume today
Projected daily order volume in 36 months
What is the primary strategic driver for automation?
Cost reduction
Speed & SLA compliance
Labor shortage mitigation
Scalability for peak events
Accuracy & quality improvement
Competitive differentiation
Has the board approved a capital budget for warehouse automation?
Approved budget ceiling
Outline anticipated funding path or blocker
Accurate data exchange between ERP/OMS and automation requires clean master data and real-time APIs. Detail your present landscape.
Primary ERP vendor
SAP S/4HANA
Oracle NetSuite
Microsoft Dynamics
Infor
Sage
Custom legacy
Multiple
None/spreadsheets
Primary OMS/WMS
Manhattan Active
Blue Yonder
HighJump
SAP EWM
Oracle WMS
Microsoft D365 SCM
Custom
None/manual
Which data interfaces already expose real-time REST/GraphQL APIs?
Inventory levels
Order header
Order lines
Promises & reservations
Customer details
Returns
None
Do SKUs have GTIN/UPC & weight/dimensions digitally stored?
Is master data governance (MDM) centralized and version-controlled?
Describe current data quality issues
Are barcodes or RFID consistently used for inbound receipts?
Do you currently enforce single-SKU totes/cartons?
Rate your current API uptime SLA (1=poor, 5=excellent)
Facility dimensions and local constraints dictate robot types and throughput ceilings.
Facility type
Dark store (no customers)
Micro-fulfillment center (MFC)
Traditional warehouse
Hybrid retail backroom
Greenfield (not yet leased)
Total floor area (m²)
Clear ceiling height (m)
Is the floor flatness within FM1 tolerance (3 mm over 3 m)?
Describe surface issues or planned remedial works
Are column grids ≤12 m and load-bearing ≥2 t per m²?
Is ambient temperature controlled 10–30 °C?
Will humans and robots operate in the same zone (cobotics)?
List any height, seismic, or hazardous-material restrictions
Select the robotic systems under consideration or already shortlisted.
Which robotic systems are required?
AMR/AGV for tote transport
Robotic arm pick & place
Automated storage shuttle (AS/RS)
Sorter induction robots
Depalletizing robot
Palletizing robot
Drones for cycle counting
Autonomous forklifts
Preferred navigation technology
QR/ArUco markers
LiDAR SLAM
Visual SLAM
Magnetic tape
Inductive wire
Beacon triangulation
Gripper technology preference
Vacuum suction
Mechanical gripper
Soft robotic fingers
Hybrid
Undecided
Do you require stainless steel or IP65 rating for wash-down?
Will robots handle ambient, chilled, and frozen zones?
Expected peak robot fleet size
Required throughput (units/hour at peak)
The WES/WCS layer orchestrates hardware and exposes APIs to ERP/OMS.
Preferred integration pattern
Buy WES/WCS suite from robot vendor
Best-of-breed WES + vendor drivers
Custom middleware
Hybrid with cloud micro-services
Do you need an on-premise server rack for low-latency control?
Is 5 GHz Wi-Fi 6 coverage available end-to-end?
Message broker/queue preference
Apache Kafka
RabbitMQ
MQTT
Redis Streams
AWS SQS/Kinesis
Azure Event Hub
Vendor proprietary
Undecided
Do you require OPC-UA or MQTT for OT/IT convergence?
Will you expose a digital twin via NVIDIA Omniverse or Unity?
Is edge AI inference needed for vision picking?
Successful automation hinges on people, not just robots.
Current warehouse headcount
Expected headcount reduction (FTE)
Is a labor union present?
Do you plan to reskill & redeploy staff to higher-value tasks?
Preferred training mode
VR simulation
Vendor classroom
On-the-job buddy
E-learning
Hybrid
Will performance KPIs be updated to include robot collaboration?
Have you appointed an Automation Change Champion?
Connected robots expand the attack surface; proactive security is mandatory.
Is ISO 27001 or SOC 2 certification required?
Must robots be air-gapped from corporate IT?
Do you require role-based access control with SSO?
Will all firmware updates be cryptographically signed?
Data residency requirement
Local only
Regional cloud
Global cloud
No restriction
Is GDPR or CCPA personal data processed by robots?
Do you maintain a Responsible AI ethics board?
Quantify success metrics and anticipate downside scenarios.
Target annual labor cost savings
Target payback period (months)
Rate the impact of each risk on project success
Very low | Low | Medium | High | Very high | |
|---|---|---|---|---|---|
Vendor lock-in | |||||
Integration delays | |||||
Throughput shortfall | |||||
Cybersecurity breach | |||||
Regulatory change | |||||
Staff attrition |
Do you require throughput guarantees in the MSA?
Is insurance coverage for robotic assets arranged?
Outline contingency plan if robots fail during peak season
Will you escrow robot source code?
Automation can advance or hinder sustainability goals.
Do you target net-zero carbon operations?
Will robots run on renewable energy?
Expected annual energy savings (kWh)
Is robot end-of-life recycling mandated?
Do you publish Scope 3 emissions including automation vendors?
Will automation reduce product waste due to errors?
Describe any ESG reporting obligations (GRI, SASB, TCFD)
Provide final inputs to shape RFP and project roadmap.
RFP release date
Vendor shortlist deadline
PO placement target
Go-live target (first wave)
Will you require a proof-of-concept site before full roll-out?
Which vendor evaluation criteria matter most?
Total cost of ownership
Integration speed
Scalability
Local service presence
Software openness
Sustainability credentials
Reference sites
List any incumbents or preferred vendors already under NDA
Any other requirements or constraints not covered?
Upload facility CAD drawing (optional)
Upload current integration architecture diagram (optional)
Upload approved business case or capex deck (optional)
May we share anonymized data with research partners?
I consent to the privacy policy and data processing
Analysis for Retail Integration: Warehouse Automation & Robotics Assessment
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
This assessment excels as a strategic planning instrument for retail executives contemplating warehouse automation. By coupling high-level business drivers with granular technical prerequisites, the form surfaces risk factors early and accelerates vendor alignment. Its section-based progression mirrors a typical automation journey—from executive buy-in to vendor selection—so stakeholders can validate assumptions at each gate. The mix of quantitative fields (SKU counts, floor area, throughput) and qualitative prompts (data governance, change readiness) yields a 360° view that most RFP templates miss. Built-in conditional logic (budget follow-ups, surface-flatness drill-downs) keeps the experience relevant, while the optional file uploads invite evidence without forcing premature disclosure. Overall, the structure balances thoroughness with usability, giving solution providers the context they need to price, design, and de-risk an automation program.
Minor opportunities for improvement include clarifying currency denominations, offering hover-over definitions for acronyms like WES/WCS, and adding real-time validation on date sequencing (RFP < PO < Go-live). Nevertheless, the form already captures mission-critical data that can shave weeks off subsequent due-diligence cycles.
Collecting the Company legal name is foundational: it enables vendor legal teams to run credit checks, generate NDAs, and ensure export-control compliance when robotics hardware crosses borders. Because the field sits at the very start, it also personalizes the assessment—subsequent references to "your facility" feel directed rather than generic. From a data-quality standpoint, a single-line open text avoids truncation issues that dropdown menus of pre-loaded corporations can introduce. The mandatory flag is justified; without an identifiable legal entity, downstream quotes, insurance calculations, and contract routing cannot proceed.
The Total SKUs currently fulfilled question is the quantitative backbone for sizing automation. Robotic picking cells, shuttle depths, and AS/RS aisle lengths scale directly against SKU cardinality; an inaccurate figure here propagates exponentially into flawed Capex models. By forcing a numeric entry, the form prevents vague qualifiers ("medium volume") that plague many consultancy engagements. Moreover, the SKU count anchors the subsequent daily-order-volume ratios, letting engineers extrapolate picks per SKU and determine whether a goods-to-person architecture is viable. Mandatory status ensures that every response can be normalized against capacity benchmarks, creating apples-to-apples comparisons during vendor evaluation.
Capturing Average daily order volume today operationalizes the SKU count into real workload. It feeds takt-time calculations for robotic arms, informs the required AGV fleet size, and flags whether current wave-planning logic will saturate under peak throughput. By requesting the average rather than peak day, the form avoids over-specifying hardware for atypical spikes; later sections tease out peak coefficients via risk matrices. The numeric constraint prevents alphabetic answers that would otherwise break throughput models. Because daily volume is a primary driver of ROI (labor hours replaced), keeping it mandatory guarantees that every submission can be stress-tested against finance templates.
Projected daily order volume in 36 months shifts the discussion from tactical automation to strategic growth accommodation. Robotics vendors must architect modular cells that can scale—physically and in software licenses—without a "rip-and-replace" scenario. This forward-looking metric justifies investments in expandable shuttle systems or additional AMR charging stations today, even if current volumes appear modest. The three-year horizon aligns with typical lease cycles and depreciation schedules, making the business-case math intelligible to CFOs. Making the field mandatory prevents short-sighted designs that would bottleneck at next year's holiday surge, a common failure pattern in early MFC roll-outs.
The single-choice primary strategic driver question distills a complex program into a single success metric. Vendors tailor proposals differently when "labor shortage mitigation" dominates versus "Speed & SLA compliance"; the former may prioritize cobot collaboration, the latter sub-second pick cycles. By forcing one selection, the form surfaces the executive's north-star KPI, which becomes the tie-breaker during design trade-offs (e.g., cost vs. throughput). The enumerated list covers the six value levers most cited in Gartner's automation quadrant, ensuring consistency across submissions. Mandatory status is crucial; without a declared driver, vendors default to cost-reduction narratives that may misalign with board-level expectations.
Identifying the Primary ERP vendor exposes integration risk early. SAP S/4HANA shops already have OData services and RFCs that robotic WES platforms can consume, whereas spreadsheet-only environments signal a green-field middleware build. The dropdown limits answer drift and accelerates vendor pre-sales teams in mapping connector licensing costs. Because ERP APIs dictate real-time inventory accuracy—a prerequisite for robotic picking—this field is mission-critical. Keeping it mandatory prevents proposals based on generic "custom integration" line items that hide schedule risk and cost escalation.
The Primary OMS/WMS selection complements ERP data by revealing order-release orchestration logic. Manhattan Active users, for example, expect waveless order streaming, whereas legacy WMS may batch releases at fixed intervals, directly impacting robot utilization curves. Knowing the OMS also clarifies whether the customer already owns a WCS license that could be extended to robotics rather than buying redundant software. Because this interface is where robotic tasks are instantiated, any mismatch here derails go-live. Mandatory capture ensures integrators price the correct adapter packs and allocate integration sprints accurately.
This yes-no gate checks master-data hygiene at the barcode level. Robots require dimensional weight for grip-force calculations and path-planning acceleration; missing data forces manual measurement campaigns that can stall projects for months. GTIN/UPC presence also enables future AI vision systems to perform SKU verification without teaching each item to the robot. By making the field mandatory, the form flags prospects that need MDM remediation before hardware installation, averting downstream finger-pointing when pick failures occur.
Facility type dictates civil and safety standards. A dark store can tolerate fully autonomous robots without fencing, whereas a hybrid retail backroom must comply with customer collision-avoidance regulations, increasing sensor costs. The taxonomy provided (MFC, greenfield, etc.) maps directly to vendor reference sites, accelerating due-diligence site visits. Mandatory selection prevents over-engineering safety systems for facilities that don't require them, keeping ROI models honest.
The multiple-choice checklist of robotic systems is the heart of the technical scope. It forces respondents to move beyond vague "we want robots" to concrete subsystems, letting vendors estimate bill-of-materials, software modules, and commissioning hours. Because each system has distinct interface requirements (AMRs need Wi-Fi, AS/RS needs WES coordinates), an accurate list prevents change-orders mid-project. Mandatory status guarantees that proposals are hardware-specific rather than placeholder consulting engagements.
Preferred integration pattern reveals the customer's architectural philosophy: single-vendor simplicity vs. best-of-breed flexibility. The answer steers licensing discussions (per-robot vs. per-pick fees) and sets implementation timeline expectations. Enterprises that opt for custom middleware typically underestimate internal software maintenance costs; surfacing this early allows vendors to embed managed-service pricing. Mandatory capture aligns sales engineering resources—vendor-aligned WES teams versus system-agnostic integrators—before RFP release, shortening evaluation cycles.
The RFP release date is the project clock. Vendors maintain pipeline calendars in quarters; an RFP dated nine months out signals opportunity to influence specifications, whereas a date next month demands rapid-response staffing. Capturing this as a date field rather than free text eliminates ambiguity (Q2 vs. April 15). Mandatory status ensures that every submission lands in the vendor's CRM with a time-stamped next action, preventing warm leads from going cold.
This checkbox satisfies GDPR and CCPA requirements for explicit consent, protecting both parties from future legal exposure. Without mandatory acknowledgment, subsequent data sharing with research partners (another yes-no question) could constitute unlawful processing. Forced consent also reinforces brand trust: respondents recognize that their strategic data will be handled responsibly, encouraging fuller disclosure in open-text fields.
Mandatory Question Analysis for Retail Integration: Warehouse Automation & Robotics Assessment
Important Note: This analysis provides strategic insights to help you get the most from your form's submission data for powerful follow-up actions and better outcomes. Please remove this content before publishing the form to the public.
Company legal name
Mandatory capture is non-negotiable: it underpins credit checks, export-control screening, and contract formation. Vendors cannot generate compliant quotes or register deals in CRM systems without a verifiable legal entity, making this field the gateway to all downstream procurement workflows.
Total SKUs currently fulfilled
This figure calibrates automation hardware size—shuttle aisles, robot counts, tote sizes—directly impacting Capex and floorplan layouts. An empty field would render every subsequent throughput calculation speculative, voiding the assessment's purpose as a de-risking tool.
Average daily order volume today
Daily volume converts SKU static data into dynamic workload, feeding takt-time and labor-replacement models. Without this baseline, vendors cannot size battery-charging infrastructure or labor-shift schedules, exposing the project to under- or over-capacity scenarios.
Projected daily order volume in 36 months
Scalability is central to dark-store economics; robots must handle growth without hardware obsolescence. A mandatory projection prevents designs that satisfy today's numbers but collapse during next year's promotional peaks, a primary cause of write-offs in MFC deployments.
What is the primary strategic driver for automation?
Single-driver clarity aligns vendor proposals with executive KPIs—be it cost, speed, or labor availability—and becomes the decision metric during trade-offs. Omitting this forces vendors to guess priorities, resulting in misaligned solutions and elongated sales cycles.
Primary ERP vendor
ERP APIs are the data lifeline for robotic task creation; unknown systems trigger costly custom middleware. Mandatory disclosure ensures integrators scope the correct adapters and license fees, avoiding surprise change-orders that can delay go-live by months.
Primary OMS/WMS
Order-release behavior varies dramatically across WMS platforms—waveless versus batch—impacting robot utilization curves. Capturing this field guarantees that control-logic parameters are pre-configured, reducing commissioning time and throughput risk.
Do SKUs have GTIN/UPC & weight/dimensions digitally stored?
Dimensional and barcode master data are prerequisites for grip-force tuning and vision verification. Making this mandatory surfaces MDM gaps early, averting robot teaching campaigns that can add six-figure cost and months to the schedule.
Facility type
Safety regulations, floor tolerances, and fence requirements differ among dark stores, MFCs, and hybrid backrooms. A mandatory selection ensures vendors apply the correct compliance standards, preventing costly retrofits for safety fencing or floor grinding.
Which robotic systems are required?
This multiple-choice scope directly drives BOM pricing, software licensing, and integration complexity. Without a forced selection, proposals revert to generic placeholders, stripping the assessment of its purpose to generate actionable, hardware-specific quotes.
Preferred integration pattern
Architectural philosophy—vendor suite vs. best-of-breed—sets licensing models and internal support burden. Mandatory disclosure aligns vendor solution architects (single vs. multi-vendor) before RFP issuance, shortening evaluation from months to weeks.
RFP release date
The date anchors vendor pipeline planning and resource allocation. A mandatory field prevents submissions from languishing in CRM limbo, ensuring every lead receives a time-bounded follow-up plan and staffing commitment.
I consent to the privacy policy and data processing
Legal consent is compulsory under GDPR/CCPA for processing strategic operational data. Without explicit agreement, subsequent analytics or partner sharing would be unlawful, exposing both parties to regulatory penalties.
The form strikes an effective balance: only 13 of 60+ fields are mandatory, concentrating on data that materially alters cost, risk, or technical architecture. This ratio maximizes completion rates while ensuring vendors receive sufficient detail to generate binding proposals. To further optimize, consider making headcount and target savings mandatory in the ROI section—without them, business-case credibility remains speculative. Conversely, questions like 5 GHz Wi-Fi coverage or stainless-steel IP65 could be demoted to optional, because they are situational rather than universally project-critical.
Where conditional logic exists (e.g., budget ceiling after "yes" to board approval), evaluate whether the child question should also inherit mandatory status if the parent is true; this prevents partially complete critical paths. Finally, provide inline help text explaining why a field is mandatory—transparency reduces user friction and reinforces the value exchange: accurate inputs yield accurate quotes. Implement real-time validation feedback (red outline until filled) to guide users without form-submission surprise, a proven technique to lift completion rates by 8–12% in B2B assessments.
To configure an element, select it on the form.