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  • Your Inventory Software Has a Blindspot

    Your Inventory Software Has a Blindspot

    Most manufacturers and distributors already have inventory software.

    The problem is they’re using it to do a warehouse management job and

    the gap between those two systems is where money, time, and

    customer trust quietly leak out.

    This guide breaks down the real difference between inventory

    management and warehouse management, shows you exactly where

    workaround costs accumulate (typically $120K-$475K/year for midmarket operations), and gives you 7 signs your operation has outgrown

    its current software. Includes industry benchmarks so you can see

    where you stand versus best-in-class.

    Please fill out the form below to access the content:

    838AB4-Your Inventory Software Has a Blindspot

  • Warehouse AI Is Coming. Your Data Isn’t Ready

    Warehouse AI Is Coming. Your Data Isn’t

    Ready

    This guide makes the case that manufacturers chasing AI and robotics

    are skipping the foundational step: trustworthy data.

    Drawing on the same 1,293-conversation dataset, it shows that with 85-

    92% inventory accuracy, 23-hour data latency, and paper-dependent

    workflows, AI has nothing reliable to optimize.

    The guide outlines a four-phase playbook:

    1. Stabilize accuracy with barcode scanning
    2. Add WMS with ERP integration
    3. Standardize lot/serial tracking and dashboards
    4. Pilot AI selectively only after hitting clear readiness thresholds

    (99%+ accuracy, <0.5% pick error rate, real-time ERP sync).

    The core argument: barcoding, bin tracking, and directed workflows

    don’t make headlines, but they make money — and they make AI

    possible when the time is right.

    Please fill out the form below to access the content:

    838AB4-Warehouse AI Is Coming. Your Data Isn't Ready

  • Is Your Warehouse Ready for WMS?

    Is Your Warehouse Ready for WMS?

    A Reality Check Before You Invest

    60% of WMS projects blow their budget or timeline and it’s rarely the

    software’s fault. The real risk is implementing before your organization is

    ready: messy data, undefined processes, and stretched teams that can’t

    absorb the change.

    This 10-minute self-assessment scores your readiness across three

    critical areas: operational processes, data integrity, and team capacity.

    Get a tailored roadmap: a 4-week sprint if you’re ready, a 60-day plan if

    you’re close, or a 90-day foundation build if you need to stabilize first.

    Take it before you talk to any vendor.

    Please fill out the form below to access the content:

    838AB4-Is Your Warehouse Ready for WMS?

  • 5 Warehouse Fixes That Pay for Themselves

    5 Warehouse Fixes That Pay for Themselves

    Five warehouse improvements. Five weeks. Under $300. No software

    needed.

    While you’re evaluating WMS options (or waiting on budget), these five

    fixes will tighten accuracy, cut picking time, and eliminate the daily

    workarounds your team has learned to live with. Each one comes with

    step-by-step implementation, before/after metrics, cost breakdowns, and

    common pitfalls.

    You’ll walk away with a standardized bin system, color-coded zones,

    dedicated staging lanes, a perpetual cycle count process, and a visual

    pick priority board.

    Please fill out the form below to access the content:

    838AB4-5 Warehouse Fixes That Pay for Themselves

  • 2026 Benchmark Report

    2026 Benchmark Report

    Based on 1,293 conversations with manufacturers and distributors, this

    report reveals five interconnected warehouse operations problems

    hiding behind a false sense of adequacy.

    Key findings:

    • Most companies operate at 85-92% inventory accuracy (costing six

    figures annually in discrepancies)

    • ERP data runs 8-24 hours behind reality due to batch processing
    • Warehouse staff spend 2-4 hours daily on manual data entry
    • Growth creates a “doom loop” where 30% more volume requires

    disproportionately more headcount

    • Compliance requirements (FDA, customer audits) can’t be met with

    paper-based systems

    The report uses composite personas drawn from real discovery calls to

    illustrate how these problems are fundamentally people problems, not

    technology problems — and how the gap between perceived and actual

    performance is often $100K+.

    Please fill out the form below to access the content:

    838AB4-2026 Benchmark Report

  • Practical guide to creating a contact centre RFP

    Practical guide to creating a contact centre RFP

    Find the right partner so you can delight customers, engage employees and exceed business goals.

    Selecting a new contact centre vendor is a big decision. It’s also an exciting time for your organisation. There are a lot of new technologies available for your consideration, including cloud capabilities, omnichannel solutions, artificial intelligence (AI) and much more.

    This guide simplifies the evaluation process, gives answers to your unique business needs and compares top vendors side-by-side — all so you know you’re choosing the right partner for your organisation.

    Please complete the form to access/download the content

    915BF6-Genesys Cloud Services Pty LtdGenesys ANZ- India 2026 – Practical guide to creating a contact centre RFP

  • How to build your business case for AI

    How to build your business case for AI

    Tell the strongest CX transformation story

    Learn how AI can transform customer experience

    For all the advances in artificial intelligence (AI) and the attention it’s receiving, businesses often lack clarity in how they should use AI as a driver of customer experience (CX). Developing an AI business case is a process of discovery that informs both your short-term goals and your long-term strategy to maximise value.

    In this guide, we’ll show you where to focus your AI efforts to achieve results and what you need to do to make those results possible. You can improve efficiency with quick wins and balance that with a robust strategy — without AI being a disruptive experience.

    As you develop your business case, remember that AI is a means to achieve your goals; it’s not the goal itself. Use AI as a tool to organise your existing resources — people, knowledge and data — in the best way possible. A solid business case that’s unique to AI will set you on the path to transformation.

    Highlights

    • Build consensus and alignment among stakeholders
    • Determine which use cases make sense now and which to save for later
    • Use metrics to show how changes will impact people, processes and workflows
    • Quantify the business value so you can tell a compelling story

    Please complete the form to access/download the content

    915BF6-Genesys Cloud Services Pty LtdGenesys ANZ- India 2026 – How to build your business case for AI

  • Customer experience in the age of AI

    Customer experience in the age of AI

    Artificial intelligence (AI) is redefining how consumers and business leaders view customer experience (CX) — and it’s rapidly becoming indispensable.

    More than 80% of CX executives believe AI will be a clear differentiator for their organization in the future and 59% say adopting AI in customer experience will lead to increased customer loyalty and lifetime value, according to the report “Customer experience in the age of AI.”

    Businesses that fail to weave AI strategies into the fabric of their experience operations risk falling behind competitors, losing customers and demotivating employees.

    This report explores how to make AI work for your customers, your employees and your organization

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    915BF6-Genesys Cloud Services Pty LtdGenesys ANZ- India 2026 – Customer experience in the age of AI

  • Frost Radar™: Customer Experience Platforms in Asia-Pacific, 2025

    Frost Radar™: Customer Experience Platforms in Asia-Pacific, 2025

    Genesys named a Leader – and ranked No. 1 in innovation and growth in APAC

    Customer experience (CX) in Asia-Pacific is transforming — fuelled by automation, artificial intelligence (AI) innovation and the growing demand for personalised interactions. As organisations work to balance personalisation and performance at scale, AI-driven CX platforms are redefining how enterprises orchestrate engagement across every channel.

    The Frost Radar™: Customer Experience Platforms in Asia-Pacific, 2025 report evaluated 19 providers based on their market share, innovation capabilities, robust client support and commitment to local market presence to help business leaders identify the technologies and partners driving measurable CX outcomes across the region.

    Genesys was once again recognised by Frost & Sullivan as a market leader, earning the highest scores on both the Growth and Innovation indices.

    Access the full Frost & Sullivan report and explore:

    • Company profiles for 19 providers
    • Actionable insights to future-proof your CX strategy
    • Key trends for markets like Japan, India, Australia and Southeast Asia

    Please complete the form to access/download the content

    915BF6-Genesys Cloud Services Pty LtdGenesys ANZ- India 2026 – Frost Radar™: Customer Experience Platforms in Asia-Pacific, 2025

  • Four megatrends that could threaten your contact centre security

    Four megatrends that could threaten your contact centre security

    Contact centres are quickly evolving to keep up with rapid technological changes, including the rise of generative artificial intelligence (AI). And the security measures they use to safeguard their customers, employees and company need to keep up, too.

    Download this ebook and explore:

    • Four megatrends changing how businesses operate
    • The business benefits and security risks of AI
    • Strategies to overcome potential threats
    • Questions to ask vendors to assure cloud network security

    Please complete the form to access/download the content

    915BF6-Genesys Cloud Services Pty LtdGenesys ANZ- India 2026 – Four megatrends that could threaten