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Home ❯Ken Survey ❯
WAREHOUSING & LOGISTICS

Warehouse Technology Adoption Survey

Warehouse leaders evaluate automation readiness, compare WMS and robotics options, and navigate integration, workforce, and investment trade-offs, so you can sharpen vendor positioning, optimise pricing, and strengthen channel strategy.

Pan-India warehouses
Warehouse leaders (Technology buyers)
15-20 min
Talk to a Survey Consultant
Consideration & ConversionIdentify adoption blockers weakening vendor consideration and purchase momentum.
Maturity & PrioritiesMap technology maturity, integration constraints, and investment priorities by segment.
TRUSTED BY LEADING BRANDS
Brand 0Brand 1Brand 2Brand 3Brand 4Brand 5Brand 6Brand 7Brand 8Brand 9Brand 10Brand 11Brand 12Brand 13Brand 14Brand 15Brand 16Brand 17Brand 18Brand 19Brand 20Brand 21Brand 22Brand 23Brand 24Brand 25Brand 26Brand 27Brand 28Brand 29Brand 30Brand 31
container image

CONTEXT & RELEVANCE

Why run this survey now

Most warehouse operators don't lose productivity purely on technology availability. They underperform due to unclear use cases, integration complexity, workforce resistance, vendor support, and fragmented budgets, none of which fully show up in utilisation reports or procurement dashboards.

If you are...

  • Warehouse technology providers
  • Supply chain strategy teams
  • Warehouse operations leaders
  • Enterprise IT functions
  • Automation investment committees

You're likely facing...

  • Low adoption despite high technology awareness across warehouse teams
  • Growing integration gaps between warehouse systems and automation assets
  • Difficulty identifying priority use cases with defensible payback
  • Inconsistent vendor support quality across facilities and regions
  • Rising implementation friction causing weak expansion intent after pilots

This will help answer...

  • Priority technology use cases
  • Adoption readiness by segment
  • Vendor selection drivers
  • Acceptable investment thresholds
  • Expansion and retention levers

RESEARCH THEMES

What This Survey Investigates

Eight interconnected research themes that map the complete warehouse technology journey from need recognition to scaled deployment.

TENETS 01

Technology Landscape

  • Current systems and automation stack
  • Technology age and utilisation
TENETS 02

Adoption Triggers

  • Operational problems prompting investment
  • Strategic and customer pressures
TENETS 03

Use Case Priorities

  • High-value warehouse workflows
  • Automation suitability by process
TENETS 04

Vendor Evaluation

  • Provider discovery and consideration
  • Selection criteria and proof points
TENETS 05

Investment & Pricing

  • Budget ownership and thresholds
  • Commercial model preferences
TENETS 06

Integration Readiness

  • Systems and data compatibility
  • Infrastructure and implementation capacity
TENETS 07

People & Change

  • Workforce readiness and acceptance
  • Training and ownership gaps
TENETS 08

Usage & Expansion

  • Post-deployment performance experience
  • Renewal and scaling intentions
Request a scope validation call

SAMPLING STRATEGY

Tell us about your ideal sample

Help us understand your target respondent profile. Select what applies, we'll design the optimal sample plan based on your inputs.

Sample size
How many respondents do you need?
Less than 300300-500500-1,0001,000-3,0003,000+Not sure yet (recommend based on markets and cuts required)
Target audience
Who should we survey?
Warehouse managersOperations headsIT leadersAutomation leadsProcurement managers
Region
Which regions should we cover?
NorthSouthWestEastPan-IndiaMulti-country
Segments
How should we slice the data?
Warehouse type: 3PL vs retail vs manufacturingFacility size: under 50,000 vs 50,000-200,000 vs 200,000+ sq ftTechnology maturity: manual vs digitised vs automatedOperating network: single-site vs regional vs nationalInvestment stage: exploring vs piloting vs scaling
YOUR SELECTION
Clear all
Sample size
Not Selected
Target audience
Not Selected
Region
Not Selected
Segments
Not Selected
Sample size
How many respondents do you need?
Not Selected
Target audience
Who should we survey?
Not Selected
Region
Which regions should we cover?
Not Selected
Segments
How should we slice the data?
Not Selected

METHODOLOGY

Survey approach

For Warehouse Technology Adoption Survey, we recommend a mixed quantitative approach with flexible data-collection modes to balance reach, depth, and verification across warehouse sizes, technology maturity levels, and operating models.

PRIMARY
Online web surveySelf-administered survey shared via email / panels to capture structured responses at scale.
Best for
1
Benchmark adoption across warehouse segments
2
Quantify vendor and feature preferences
3
Model purchase and expansion drivers
Deliverables
Adoption benchmark
Driver model

EXECUTION PROCESS

How we execute

A proven 9-step process from scoping to delivery, designed to ensure quality, speed, and actionable insights.

Define the decision frame

Confirm objectives, target cohorts, geographies, and reporting cuts

Step 01

Define the decision frame

Design the instrument

Build workstream modules mapped to outputs (drivers, friction, pricing, retention, trust)

Step 02

Design the instrument

Lock the questionnaire

Review wording, sequencing, LOI, and competitive context; approve final version

Step 03

Lock the questionnaire

Pilot and calibrate

Test comprehension and ease quality; refine quotas and remove friction where needed

Step 04

Pilot and calibrate

Run fieldwork

Execute collection with active quota management and feasibility controls

Step 05

Run fieldwork

Assure quality

Dedupe, attention checks, speed/consistency rules, removals with audit trail

Step 06

Assure quality

Prepare the dataset

Clean data and deliver codebook/variable definitions

Step 07

Prepare the dataset

Analyse and synthesise

Driver ranking, leakage diagnostics, pricing bands, segment insights

Step 08

Analyse and synthesise

Deliver and align

Executive deck (optional dashboard) and leadership readout with recommendations

Step 09

Deliver and align

COMMERCIAL TERMS

Request a Commercial Proposal

Pricing depends on cohort, geography, sample size, approach, LOI, and deliverables. Configure below for an indicative estimate.

Select Sample Size

100

Geography

  • India
  • APAC (Singapore, Vietnam, Philippines, Indonesia, Australia, NZ, Japan, Thailand)
  • Middle East (UAE, KSA, Qatar, Bahrain, Oman, Kuwait)
  • North America (US, Canada)
  • Europe
  • Africa (South Africa, Kenya, Nigeria, Egypt, Algeria)
  • LATAM (Brazil, Mexico)

Select Mode of Survey

  • Online
  • CATI
  • Online FGD (5 people per FGD)
  • F2F

Length of the Interview

  • Select
  • 0-15
  • 16-20
  • 21-30
  • 31-45
  • 46-60
  • Custom
Indicative Estimate
  • Indian Rupee (INR)
  • United Arab Emirates Dirham (AED)
  • Afghan Afghani (AFN)
  • Albanian Lek (ALL)
  • Armenian Dram (AMD)
  • Netherlands Antillean Guilder (ANG)
  • Angolan Kwanza (AOA)
  • Argentine Peso (ARS)
  • Australian Dollar (AUD)
  • Aruban Florin (AWG)
  • Azerbaijani Manat (AZN)
  • Bosnia-Herzegovina Convertible Mark (BAM)
  • Barbadian Dollar (BBD)
  • Bangladeshi Taka (BDT)
  • Bulgarian Lev (BGN)
  • Bahraini Dinar (BHD)
  • Burundian Franc (BIF)
  • Bermudian Dollar (BMD)
  • Brunei Dollar (BND)
  • Bolivian Boliviano (BOB)
  • Brazilian Real (BRL)
  • Bahamian Dollar (BSD)
  • Bhutanese Ngultrum (BTN)
  • Botswana Pula (BWP)
  • Belarusian Ruble (BYN)
  • Belize Dollar (BZD)
  • Canadian Dollar (CAD)
  • Congolese Franc (CDF)
  • Swiss Franc (CHF)
  • Chilean Peso (CLP)
  • Chinese Yuan (CNY)
  • Colombian Peso (COP)
  • Costa Rican Colón (CRC)
  • Cuban Peso (CUP)
  • Cape Verdean Escudo (CVE)
  • Czech Koruna (CZK)
  • Djiboutian Franc (DJF)
  • Danish Krone (DKK)
  • Dominican Peso (DOP)
  • Algerian Dinar (DZD)
  • Egyptian Pound (EGP)
  • Eritrean Nakfa (ERN)
  • Ethiopian Birr (ETB)
  • Euro (EUR)
  • Fijian Dollar (FJD)
  • Falkland Islands Pound (FKP)
  • British Pound (GBP)
  • Georgian Lari (GEL)
  • Ghanaian Cedi (GHS)
  • Gibraltar Pound (GIP)
  • Gambian Dalasi (GMD)
  • Guinean Franc (GNF)
  • Guatemalan Quetzal (GTQ)
  • Guyanese Dollar (GYD)
  • Hong Kong Dollar (HKD)
  • Honduran Lempira (HNL)
  • Croatian Kuna (HRK)
  • Haitian Gourde (HTG)
  • Hungarian Forint (HUF)
  • Indonesian Rupiah (IDR)
  • Israeli New Shekel (ILS)
  • Iraqi Dinar (IQD)
  • Iranian Rial (IRR)
  • Icelandic Króna (ISK)
  • Jamaican Dollar (JMD)
  • Jordanian Dinar (JOD)
  • Japanese Yen (JPY)
  • Kenyan Shilling (KES)
  • Kyrgyzstani Som (KGS)
  • Cambodian Riel (KHR)
  • Comorian Franc (KMF)
  • South Korean Won (KRW)
  • Kuwaiti Dinar (KWD)
  • Cayman Islands Dollar (KYD)
  • Kazakhstani Tenge (KZT)
  • Lao Kip (LAK)
  • Lebanese Pound (LBP)
  • Sri Lankan Rupee (LKR)
  • Liberian Dollar (LRD)
  • Lesotho Loti (LSL)
  • Libyan Dinar (LYD)
  • Moroccan Dirham (MAD)
  • Moldovan Leu (MDL)
  • Malagasy Ariary (MGA)
  • Macedonian Denar (MKD)
  • Burmese Kyat (MMK)
  • Mongolian Tögrög (MNT)
  • Macanese Pataca (MOP)
  • Mauritian Rupee (MUR)
  • Maldivian Rufiyaa (MVR)
  • Malawian Kwacha (MWK)
  • Mexican Peso (MXN)
  • Malaysian Ringgit (MYR)
  • Mozambican Metical (MZN)
  • Namibian Dollar (NAD)
  • Nigerian Naira (NGN)
  • Nicaraguan Córdoba (NIO)
  • Norwegian Krone (NOK)
  • Nepalese Rupee (NPR)
  • New Zealand Dollar (NZD)
  • Omani Rial (OMR)
  • Panamanian Balboa (PAB)
  • Peruvian Sol (PEN)
  • Papua New Guinean Kina (PGK)
  • Philippine Peso (PHP)
  • Pakistani Rupee (PKR)
  • Polish Złoty (PLN)
  • Paraguayan Guaraní (PYG)
  • Qatari Riyal (QAR)
  • Romanian Leu (RON)
  • Serbian Dinar (RSD)
  • Russian Ruble (RUB)
  • Rwandan Franc (RWF)
  • Saudi Riyal (SAR)
  • Solomon Islands Dollar (SBD)
  • Seychellois Rupee (SCR)
  • Sudanese Pound (SDG)
  • Swedish Krona (SEK)
  • Singapore Dollar (SGD)
  • Saint Helena Pound (SHP)
  • Sierra Leonean Leone (SLL)
  • Somali Shilling (SOS)
  • Surinamese Dollar (SRD)
  • São Tomé and Príncipe Dobra (STD)
  • Syrian Pound (SYP)
  • Swazi Lilangeni (SZL)
  • Thai Baht (THB)
  • Tajikistani Somoni (TJS)
  • Turkmenistani Manat (TMT)
  • Tunisian Dinar (TND)
  • Tongan Paʻanga (TOP)
  • Turkish Lira (TRY)
  • Trinidad and Tobago Dollar (TTD)
  • New Taiwan Dollar (TWD)
  • Tanzanian Shilling (TZS)
  • Ukrainian Hryvnia (UAH)
  • Ugandan Shilling (UGX)
  • United States Dollar (USD)
  • Uruguayan Peso (UYU)
  • Uzbekistani Som (UZS)
  • Vietnamese Đồng (VND)
  • Vanuatu Vatu (VUV)
  • Samoan Tālā (WST)
  • Central African CFA Franc (XAF)
  • East Caribbean Dollar (XCD)
  • West African CFA franc (XOF)
  • CFP Franc (XPF)
  • Yemeni Rial (YER)
  • South African Rand (ZAR)
  • Zambian Kwacha (ZMW)
  • Zimbabwean Dollar (ZWL)

$0.00

+ applicable taxes

Cost Breakdown

Questionnaire DesignIncluded

Data Collection (CPI + 50C)Variable

Analysis & ReportIncluded
Proposal turnaround typically 24–48 hours

Note: Estimate is indicative only. Final pricing is subject to scope finalization after discovery call.

REFERENCE CASELETS

Reference

Real-world examples of survey work in the warehousing technology space.

CASELET 1

Warehouse Automation Vendor Positioning Across Logistics Hubs (India)

CASELET 2

Warehouse Control Tower Feature Packaging Study (Southeast Asia)

Warehouse Automation Vendor Positioning Across Logistics Hubs (India)

OBJECTIVE

A pan-India automation provider needed to understand how 3PL operators , retail distribution centres , and manufacturing warehouses compared robotics vendors on reliability, integration support, service coverage, and commercial credibility before initiating formal evaluations.

WHAT WE DID

We conducted a structured survey with 420 operations, engineering, and procurement leaders across major logistics clusters, capturing brand awareness , consideration triggers , preferred proof points, channel influence, service expectations, and perceived differentiation by warehouse type.

DELIVERED

The study produced a vendor preference map , message territories , segment-level consideration drivers, competitive proof-point gaps, and channel levers , enabling the commercial team to refine positioning for distinct warehouse profiles without overstating product capability.
Talk to Survey Consultant
CASELET 1

Warehouse Automation Vendor Positioning Across Logistics Hubs (India)

CASELET 2

Warehouse Control Tower Feature Packaging Study (Southeast Asia)

Warehouse Automation Vendor Positioning Across Logistics Hubs (India)

OBJECTIVE

A pan-India automation provider needed to understand how 3PL operators , retail distribution centres , and manufacturing warehouses compared robotics vendors on reliability, integration support, service coverage, and commercial credibility before initiating formal evaluations.

WHAT WE DID

We conducted a structured survey with 420 operations, engineering, and procurement leaders across major logistics clusters, capturing brand awareness , consideration triggers , preferred proof points, channel influence, service expectations, and perceived differentiation by warehouse type.

DELIVERED

The study produced a vendor preference map , message territories , segment-level consideration drivers, competitive proof-point gaps, and channel levers , enabling the commercial team to refine positioning for distinct warehouse profiles without overstating product capability.

FREQUENTLY ASKED QUESTIONS

Common Questions

Answers to frequently asked questions about this survey mandate.

What decisions will this survey enable?

Who is the buyer vs who are the respondents?

Can we see differences between 3PL, retail and manufacturing warehouses?

How will you measure warehouse technology adoption decisions beyond simple ratings?

Will the survey map the full technology evaluation and deployment journey and drop-offs?

Can this survey inform product and pricing strategy?

How will findings improve our warehouse technology conversion and expansion?

Still have questions?

Schedule a discovery call to discuss your specific needs and get a custom quote.

Book a Discovery Call
Segment cuts
OPTIONAL
CATI (phone survey)Interviewer-led telephone interviews to reach owners who are harder to get online.
Best for
1
Reach senior operators with limited online availability
2
Validate complex integration and procurement responses
Deliverables
Verified responses
Leadership cuts
SELECTIVE
Face-to-faceOn-ground surveys or interviews in key industrial clusters or high-value cohorts.
Best for
1
Observe technology use in operational warehouse settings
2
Reach supervisors across labour-intensive facilities
Deliverables
Site context
Operator profiles
OPTIONAL
FGDs
Best for
1
Uncover reactions to automation risks and workforce change
2
Explore trade-offs between integration effort and operational value
Deliverables
Adoption barrier map
Value narrative framework
OPTIONAL
Mixed surveysAny 4-mode combo Online + CATI + F2F + FGDs to maximise reach and representation. Mode-specific quotas and weighting for clean comparisons.
Deliverables
Unified dataset
Mode-adjusted analytics
Our Recommendation
Start with: Online web survey for multi-site operators and digitally accessible warehouse leaders
Consider adding: CATI interviews for senior operations heads and less digitised warehouse segments
Confirm approach
Request timeline