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Parikh AdvisoryLogic Before Code

SHAIYAA / BUSINESS & DIGITAL STRATEGY

A conversation to buy.
A system to support it.

How a Jaipur home-linen brand made purchasing more personal—and connected the business around it.

The website became a place to discover. WhatsApp became the intended place to ask, choose and confirm. Customer accounts, history and operational information supported the experience behind the scenes.

Customer experienceOperating modelConnected commerce
Explore the decision
Botanical bed cover from Shaiyaa’s published catalogue
THE CHANGEDiscover online.
Buy with guidance.
Shaiyaa catalogue imagery

The first reported nine days.

Founder-reported · early operating evidence
22Units soldUnits—not orders or customers
5 / 6Enquirers became purchasing customersSix reported customer enquiries
≤15 minReported enquiry response timeNot an independently audited average
9 daysAn early observation windowNot a long-term performance trend

Reported by the founder for the first nine-day period. Exact reporting dates and underlying records have not been independently checked. Read the evidence boundaries ↗

01 THE BUSINESS BEHIND THE DECISION

A product choice can
start with a question.

Shaiyaa sells bedsheets, quilts, dohars, bed covers, dining linen and lifestyle products. Size, fabric, print and availability all influence the buying decision.

For a customer, “the right bedsheet” is not just a photograph. It is the finished size, the mattress depth, the fabric, the matching pillow covers—and whether the preferred design is available.

The business combines a small stockholding with supplier-supported choice. Human guidance was already part of selling. The opportunity was to make the digital journey reflect that reality.

01Many variants

Different sizes, materials and designs.

02Personal guidance

Questions before a purchase decision.

03Existing history

Returning customers and past purchases.

Nature Art bedsheet from Shaiyaa’s published collection
ILLUSTRATIVE PURCHASE QUESTIONS

“Will the finished size fit my bed?”

“Which fabric suits what I need?”

“Is this print available?”

Question prompts—not customer-message screenshots.

02 THE ASSUMPTION CHALLENGED

An online shop does not
have to end at a checkout.

The question was not whether a cart is useful in general. It was whether a conventional checkout matched how Shaiyaa’s customers already bought.

THE DEFAULT ASSUMPTION
“If we sell products online, customers should be able to check out online.”
THE BUSINESS REALITY

Conversations about selection and availability were already happening. Keeping the cart did not remove that work.

The decision: make guidance part of the journey, then connect the information around it.

Conventional ecommerce

Product selection followed by checkout.

  • Familiar and suitable for self-service purchases.
  • Leaves size, availability and suitability questions to be resolved elsewhere.
The trade-off

Automation at checkout does not automatically create confidence in the selection.

Automated assisted commerce

Guidance through rules, flows or automation.

  • Can help customers narrow their choices.
  • Needs structured product data, upkeep and exception handling.
The trade-off

More setup and maintenance before the quality of guidance is established.

THE CHOSEN APPROACH

Website + guided WhatsApp

Discover online. Confirm with a person.

  • Use the website for product detail and comparison.
  • Resolve questions before confirming and paying.
The trade-off

Response speed, staff capacity and record discipline remain essential.

This was a fit-for-business decision. It does not establish that conversational purchasing will outperform checkout for every retailer—or that it has caused a conversion uplift at Shaiyaa.

03 THE CUSTOMER JOURNEY

A clear hand-off.
Not a dead end.

Product discovery remains on the website. A contextual WhatsApp link helps the customer continue the conversation without starting from a blank message.

01 / DISCOVER

The website introduces the range and helps a customer find a relevant starting point.

Actual Shaiyaa product page showing product photographs, usable size, fabric and WhatsApp purchasing
The real product-to-conversation hand-off. Public product page captured 30 October 2026. Prices and designs shown are a dated snapshot.Visit the product page ↗

04 THE CONNECTED BUSINESS

Less checkout.
More continuity.

The important change sits behind the purchase: connecting customer context, conversations, account history and operational information.

THE CUSTOMER EXPERIENCEDiscover → ask → choose → confirm

Human guidance stays part of buying.

THE CONNECTING LAYERCustomer & purchase context

A shared reference across the relationship.

01Customer accounts

Optional sign-in, saved details and a place to return.

02Historical records

Past purchases and invoices within the reported coverage.

03Activity & orders

Reported catalogue, sign-in and order traceability.

04Administrative oversight

A reported view of customer activity and operational status.

Operating-model map based on the founder’s account—not a dashboard screenshot. End-to-end linkage, record completeness and access controls require technical QA.

AN ACCOUNT IS OPTIONAL

Keep the relationship.
Remove the extra hurdle.

Customers can browse and order on WhatsApp without first creating an account. The public My Shaiyaa entry offers email-code sign-in and describes access to favourites, purchases and invoices.

203Customer accounts reported
6 yearsHistorical coverage reported

These describe the reported system context. They are not 203 newly acquired customers or six years of results from the redesigned website.

Actual public My Shaiyaa customer account sign-in screen
Actual public My Shaiyaa entry, captured 30 October 2026. No customer records or private dashboard data are shown.

05 EARLY OPERATING EVIDENCE

Encouraging.
Not yet conclusive.

The founder’s first nine-day account reports 22 units sold and five purchasing customers from six enquiries, with enquiries answered within 15 minutes.

ENQUIRY → PURCHASING CUSTOMER

83.3%

5 purchasing customers ÷ 6 reported enquiries

Five purchasing customers; one enquiry did not result in a reported purchase within the window.

A denominator matters.

This is an early enquiry-to-customer conversion rate from a sample of six. It is not the website’s visitor-to-buyer conversion rate.

The 22 units are items sold. They do not represent 22 separate orders or 22 customers.

There is no before-and-after baseline here that establishes cart removal as the cause of a conversion improvement.

What the current evidence supports
StatementEvidence statusHow to read it
22 units sold in nine daysFounder-reported resultUnits sold; not separate orders or unique customers.
Five of six enquirers purchasedFounder-reported resultEarly enquiry-to-customer conversion; small sample.
Enquiries answered within 15 minutesFounder-reported service performanceNot independently audited; no average or percentile established.
203 customer accounts; six years of historyFounder-reported system contextNo claim that every account is active or every historical record is complete.
Clicks, sign-ins and catalogue activity are traceableReported system capabilityEvent coverage, identity linkage and completeness need technical QA.
Cart removal improved conversionNot establishedNo causal comparison or website-wide conversion baseline.
No customer ever drops outNot establishedThe reported period includes one enquirer without a recorded purchase.
Manual workload decreasedNot quantifiedReported as broadly similar to the previous selling process.
500 new customers in twelve monthsBusiness targetAn ambition to measure against; not an achieved result.

Evidence note: operating figures and system counts come from the owner-supplied brief. Public pages were inspected for the customer-facing flow. Underlying sales, enquiry and response-time records were not independently audited. The brief gives a nine-day duration but does not supply exact start and end dates.

06 THE TRADE-OFF

Human work remains.
It has a clearer place.

The most compelling finding is not that manual work disappeared. It is that conversations were already happening—and became an intended part of the purchase journey.

WHAT THE MODEL FITS

Guidance before commitment.

The customer can resolve selection and availability questions before confirming a purchase. The digital experience supports the conversation rather than pretending it is unnecessary.

WHAT THE BUSINESS STILL OWNS

Speed, capacity and follow-through.

A person still answers, checks and guides. The reported workload is manageable and broadly similar to the prior process, but no reduction in labour time or cost per sale has been measured.

WHAT CAN BECOME A BOTTLENECK

Volume changes the economics.

More enquiries may require better triage, product information and staffing. An encouraging first period does not establish that the same service level is sustainable at a larger scale.

07 THE NEXT TEST

Can the experience hold
as the business grows?

The next phase is to measure the model over a longer period—across acquisition, service effort, repeat purchase and operational reliability.

THE BUSINESS TARGET500

new customers
in twelve months

A target—not a forecast or a result.

01

Sustainable acquisition

Track the source of new customers, qualified enquiries and acquisition cost over consistent reporting windows.

02

Service economics

Measure response time, handling time, staffing capacity and contribution after service and fulfilment costs.

03

Repeat purchase

Follow customer cohorts to understand returning customers, order frequency and retention.

04

A trustworthy operating record

QA activity tracking, consent, identity linkage, historical coverage and administrative access end to end.

LOGIC BEFORE CODE

The significant change
was not a missing
checkout button.

It was building a purchasing experience around how customers actually behaved—and connecting the conversations, accounts, history and operational information needed to support it.

The early figures are encouraging. The next question is whether the business can sustain that experience as customer volumes increase.

Design for the business you actually operate.
Then choose the technology that supports it.