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  • 1.  Automated Workforce Mix Recommendation for Contact Centers

    Posted 5 days ago

    Guys, I'd like to ask for your support on an idea I submitted related to WFM for Contact Centers in Brazil.

    Today, Brazilian operations heavily rely on 6x1 and 5x2 shift models, and competitor solutions already provide automated workforce mix recommendations to help balance operational costs and service levels.

    The idea is to bring this intelligence into the platform as well, allowing the system to automatically recommend the most efficient staffing models to cover demand curves. This would greatly help planning teams by reducing manual analysis and improving hiring and staffing decisions.

    If you think this makes sense, I'd really appreciate your vote and support. https://genesyscloud.ideas.aha.io/ideas/WECAP-I-62


    #ScheduleGeneration

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    David Betoni
    Principal PS Consultant
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  • 2.  RE: Automated Workforce Mix Recommendation for Contact Centers

    Posted 5 days ago
    Edited by Elisson Fernandes 5 days ago
    Hi David,
     
    This idea is really interesting. Here in Brazil, we often run into this type of situation.
     
    I tried to access the link, but it keeps returning an error. Could you please check if the link is correct/active?
     
    Thank you!



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    Elisson Fernandes
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  • 3.  RE: Automated Workforce Mix Recommendation for Contact Centers

    Posted 4 days ago

    excellent idea, give me my vote!!



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    Cesar Padilla
    INDRA COLOMBIA
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  • 4.  RE: Automated Workforce Mix Recommendation for Contact Centers
    Best Answer

    Posted 2 days ago

      

    Automated Workforce Mix Recommendation for contact centers in Brazil is a very strong idea - but it needs to be designed around Brazilian labor law first, not just operational efficiency.

    In Brazil, workforce optimization is constrained by:

    • CLT labor protections

    • NR-17 ergonomics rules for telemarketing/contact centers

    • union agreements (CCT/ACT)

    • overtime restrictions

    • mandatory breaks

    • special telemarketing work-hour limits

    • psychological health and burnout regulations

    Because of this, a "generic AI scheduler" from the US market often fails in Brazil.

    The opportunity is not just forecasting demand - it is legally compliant optimization.

    Key Brazilian constraints include:

    • 6-hour daily / 36-hour weekly limits for telemarketing operators in many cases (JusBrasil)

    • mandatory paid pauses and meal breaks (JusBrasil)

    • ergonomic obligations under NR-17 (InHouse Contact Center & Technology)

    • overtime rules and fatigue risks (Rafael França Advocacia -)

    • union-specific scheduling agreements

    • restrictions around consecutive shifts and night work

    • legal exposure from burnout or repetitive strain claims

    So an Automated Workforce Mix Recommendation engine in Brazil should optimize for:

    1. Service level

    2. Cost

    3. Compliance risk

    4. Attrition risk

    5. Burnout probability

    6. Labor lawsuit exposure

    -not only occupancy or productivity.

    A good Brazilian workforce recommendation engine would likely include:

    1. Workforce Composition Optimization

    Recommend the best mix of:

    • full-time CLT agents

    • part-time agents

    • outsourced BPO

    • home-office agents

    • temporary workers

    • AI agents/bots

    • asynchronous digital support teams

    For example:

    • voice peak handled by BPO

    • WhatsApp handled internally

    • overnight AI-first routing

    • premium queues reserved for senior agents

    This becomes especially valuable because Brazil has high labor cost rigidity.


    2. Compliance-Aware Scheduling

    The differentiator is:
    "recommend schedules that are already compliant."

    The engine should automatically account for:

    • NR-17 pauses

    • meal intervals

    • maximum headset exposure

    • weekly hour limits

    • overtime thresholds

    • union rules

    • vacation balances

    • mandatory rest windows

    Most WFM systems still require manual labor-law interpretation.

    That is where AI can create huge value.


    3. AI + Human Mix Recommendation

    This is probably the biggest future opportunity.

    Instead of asking:
    "How many agents do we need?"

    The system asks:
    "What combination of humans + AI minimizes cost while maintaining compliance and CX?"

    Example:

    • Tier-1 billing handled by AI

    • escalations routed to specialists

    • after-hours overflow automated

    • WhatsApp asynchronous queues prioritized for lower-cost staffing

    This is especially important in Brazil because labor lawsuits can erase efficiency gains very quickly.


    4. Burnout & Attrition Prediction

    Brazilian contact centers have historically high turnover.

    A smart workforce mix engine should predict:

    • burnout risk

    • absenteeism probability

    • resignation probability

    • stress accumulation

    • ergonomic overload

    NR-17 was specifically created because telemarketing work creates psychological and physical strain. (InHouse Contact Center & Technology)

    This means workforce optimization should include human sustainability, not just utilization.


    5. Financial Optimization Beyond Payroll

    In Brazil, labor cost is much more than salary:

    • FGTS

    • férias

    • 13º salário

    • overtime premiums

    • labor contingencies

    • union obligations

    • benefits

    • legal reserves

    So the AI should optimize:
    "true labor cost per interaction."

    That becomes extremely strategic for CFOs.


    My view on market potential

    I think this is one of the best AI opportunities for Latin American CX operations.

    Why?

    Because:

    • Brazil has complex labor regulation

    • contact centers are massive employers

    • margins are thin

    • AI adoption is accelerating

    • existing WFM tools are weak on local legal intelligence

    Most current WFM systems:

    • forecast volumes well

    • schedule reasonably well

    • do NOT deeply understand Brazilian labor complexity

    An AI-native "compliance-aware workforce recommendation engine" could become a major differentiator.

    Especially if integrated with:

    • Genesys

    • NICE

    • Verint

    • Zendesk

    • Salesforce

    • WhatsApp operations


    The strongest positioning is probably not:
    "AI scheduler"

    but:

    "AI-powered workforce governance for Brazilian CX operations."

    That sounds much more strategic and executive-level.

    The real value is reducing:

    • labor lawsuits

    • overtime leakage

    • attrition

    • shrinkage

    • idle capacity

    • burnout

    while maintaining SLA and CX quality.

    That combination is extremely hard to do manually in Brazil.

    I voted in you Idea and I hope that this feature is in the Roadmap :)



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    Suzi Leao
    suzi.oliveira@genesys.com
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  • 5.  RE: Automated Workforce Mix Recommendation for Contact Centers

    Posted 2 days ago

    Hi David,

    Kindly update the link as it gives an error when clicked:


    However, based on the information you've provided here - your idea tackles a very real planning gap rather than just a UI enhancement.

    One approach I've seen work is combining multiple WFM scenarios with different shift-pattern assumptions (e.g. separate scenarios for 6x1-heavy vs 5x2-heavy mixes) and then using schedule adherence + cost KPIs outside the platform to compare outcomes. It's doable, but very manual and definitely not scalable for large operations.

    As Suzi highlighted, if your Idea/recommendation engine also respected local labor constraints (Brazilian rules around weekly rest, night premiums, overtime caps, etc.) and didn't just optimize on coverage alone.

    Until something native exists, another partial workaround I can think of is leveraging the WFM APIs to export demand curves into an external optimizer and feed the resulting schedules back - but that's clearly not something every customer can build or maintain.
    Hope that provides an insight.
    Thanks


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    Ashiesh Sharma
    GCX- GCP, ARC, SCR, QM
    Producer | Conductor | Composer
    BT plc
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