Briskk AI – AI Revenue Layer
    Briskk AI · Case Studies

    Every WhatsApp enquiry worked.
    Three categories, one pattern.

    Furniture & furnishing brands (Furnishka and Floating Walls), a lab-grown diamond brand and an automobile pilot use Briskk AI to turn WhatsApp enquiries into conversations with a salesperson.

    Briskk AI is a WhatsApp sales agent for high-consideration retail brands. It responds to enquiries, qualifies buyer intent, follows up and hands serious shoppers to sales staff with conversation context.

    Find your category

    Across every Briskk customer

    Stores using Briskk AI
    30+stores using Briskk AI
    Store staff using Briskk AI
    70+store staff use Briskk AI, about 46 active on an average day

    Briskk AI is used across 30+ stores. 70+ store staff use it, and about 46 are active on an average day. These totals cover all customers, not any single brand.

    Most orders land within days of the first chat

    In Briskk-assisted selling, about 6 in 10 buyers order within a week of the first chat, and about 1 in 4 on the same day.

    Days from first chat to order

    • Same day23%
    • 1–3 days18%
    • 4–7 days17%
    • 8–14 days11%
    • 15–30 days10%
    • 31–60 days13%
    • 60+ days7%
    Share of people who placed an order, by time from first chat to first order, across Briskk customers. Includes only people who ordered. Not every order follows every step.

    How these orders happen

    1. 1

      First chat on WhatsApp

    2. 2

      Briskk replies and qualifies

    3. 3

      Real-time handover to staff

    4. 4

      Staff call the customer

    5. 5

      Briskk reminds staff on WhatsApp to follow up

    6. 6

      Store visit

    7. 7

      Order

    Separate result: at Furnishka, replies went from about a day to instant (company-reported). This chart measures time to order, not reply speed.

    Furniture & Furnishing

    Two brands, one buying pattern: shoppers compare, ask for advice and want a person who knows the product or the room.

    CASE STUDYFurniture & FurnishingBangalore · 15 stores

    Furnishka: 15-store furniture retailer, Bangalore

    3.3× weekly conversion

    What changed: replies went from about a day to instant (company-reported). Briskk AI qualifies each shopper against Furnishka’s own criteria and hands the lead to a store salesperson on WhatsApp with a short brief.

    more conversion into sales revenue after handover
    3×more conversion into sales revenue after handover
    of shoppers handed to a salesperson
    41%of shoppers handed to a salesperson
    of handovers showed buying intent
    70%of handovers showed buying intent

    Conversion into sales: handed to staff vs not

    • Chats not handed to staff1×
    • Chats handed to staff (Briskk AI-assisted selling)about 3×
    Indexed to chats not handed over = 1×. AI-agent chats matched to Furnishka’s orders by phone number.

    Share of shoppers handed to staff over time

    • Launch weeks27%
    • Month 236%
    • Month 348%
    • Latest weeks55%

    The AI hands over shoppers who look interested, so this shows that its qualification works. It does not by itself prove the handover caused the order. Counting only orders placed after the handover day, the multiple is about 2.4×.

    Two different measures: the 3.3× headline is Furnishka’s weekly enquiry-to-conversion rate on the case study page. The comparison above covers the period since handover went live and is a separate cohort.

    Read the Furnishka case study
    Furniture & FurnishingEarly results · first 5 weeksNo click-to-WhatsApp ads

    Floating Walls: six in ten shoppers asked for a person

    Early results from the first five weeks of Briskk AI. No sales figures yet.

    shoppers served on WhatsApp
    394shoppers served on WhatsApp
    asked to be handed to a person (245)
    62%asked to be handed to a person (245)
    handovers showed buying intent (47% of all shoppers)
    185handovers showed buying intent (47% of all shoppers)
    shoppers shared a photo of their space
    44shoppers shared a photo of their space

    Why shoppers were handed to staff

    • Buying intent185
    • Photo shared44
    • Support or other16
    Split of the 245 shoppers who asked for a person (394 served). Each handover is counted once.

    Photo to specialist

    1. 1

      Room photo or product question

    2. 2

      Briskk captures what the shopper asks for

    3. 3

      Custom or visual requirement detected

    4. 4

      Specialist receives the conversation brief

    5. 5

      Human design or sales consultation

      Possible next step

    Illustrative routing. It does not describe automatic image or room analysis.

    A room-photo enquiry, two ways

    Without a structured workflow

    1. 1

      Room requirements are buried in the chat

    2. 2

      Photos sit apart from the sales context

    3. 3

      Staff review the conversation by hand

    • Unclear ownership
    • The shopper repeats room or style requirements

    With Briskk

    1. 1

      Enquiry acknowledged immediately

    2. 2

      Room, product or custom requirement captured

    3. 3

      Need for human help recognised

    • The relevant staff member receives the brief

    Illustrative workflow, not a measurement of this customer’s earlier process.

    Full story coming soon

    Anonymised case studyJewellery & Lab-Grown DiamondsEarly results · six weeks

    A well-funded lab-grown diamond brand with 5+ physical stores

    How Briskk AI responds to low-context and after-hours WhatsApp enquiries, identifies buying intent and routes serious shoppers to sales staff. Based on six weeks of recent Briskk production data.

    See the lab-grown diamond case study

    Different purchases. The same path from enquiry to expert.

    Each category asks different questions, but the shape is shared: a shopper starts on WhatsApp and finishes with a person who knows the context.

    Furniture & Furnishing

    1. 1

      Product fit, room context or image

    2. 2

      Store availability or custom requirement

    3. 3

      Salesperson or décor specialist

    Jewellery & LGD

    1. 1

      Product and trust questions

    2. 2

      Qualification

    3. 3

      Call, video or store consultation

    The shared Briskk layer

    1. Respond
    2. Understand
    3. Qualify
    4. Brief
    5. Handover

    Illustrative operating model. Customer behaviour differs by category.

    Pilot

    Automobile: a pilot in progress

    We’ll publish the automobile case study after the pilot has produced a meaningful dataset, the metrics have been validated and the customer’s disclosure terms are approved.

    Illustrative pilot workflow

    1. 1

      Ad, website or WhatsApp enquiry

    2. 2

      Immediate response

    3. 3

      Vehicle or model interest

    4. 4

      Budget and timeline

    5. 5

      Finance, exchange or test-drive interest

    6. 6

      Dealership salesperson

    7. 7

      Call, showroom visit or test drive

      Possible next step

    Pilot status

    1. 1Pilot workflow
    2. 2Data collection
    3. 3Validation
    4. 4Publish verified case study
    Is Briskk right for you?

    It works best where the sale starts on WhatsApp and finishes with a person.

    • Considered, high-ticket purchase

      Furniture & furnishing, jewellery, automobile: buyers compare, ask family and want advice before they buy.

    • WhatsApp-led enquiries

      Shoppers arrive from ads, Instagram or your website and start the conversation on WhatsApp.

    • Store or sales staff close the sale

      A salesperson, in store or on a call, closes the sale, and you want to know which enquiries they worked.

    How we measure

    Definitions and limits
    Shoppers served
    Different people who sent at least one WhatsApp message during the measurement period.
    Handed over
    Briskk routed the shopper to a salesperson with a conversation brief. A handover does not prove that the salesperson called, an appointment or store visit happened, an order was placed or revenue was generated.
    Buying intent
    A handover associated with a qualified lead, a price question, a custom request or an objection. It is not a confirmed purchase.
    Furnishka orders
    Matched to the retailer’s order system by phone number, counted if dated on or after the first-chat day. Matching by phone can miss buyers who use another number, so the true figure is likely higher. This is association, not proof of cause, and cohorts and periods are not mixed.
    Anonymous customer
    The lab-grown diamond customer’s identity is withheld by agreement. Its analysis uses six weeks of recent Briskk production data and reports operational results, not sales.
    Floating Walls
    Early results and operational only; they exclude sales outcomes.
    Aggregate footprint
    Briskk AI is used across 30+ stores. 70+ store staff use it, and about 46 are active on an average day. These totals cover all customers and are not attributable to any one brand.
    Source
    Source: Briskk production data and company-reported information; not independently audited.

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