Executive Summary
A leading FMCG distributor believed its field sales operation was achieving 95% beat plan compliance.
Sales performance suggested otherwise.
An internal audit confirmed the problem. Retailers reported missing visits despite completed visit reports. Recycled photos appeared across multiple submissions.
Performance incentives were being paid against activity that could not be independently verified.
After deploying ZealMint, every retailer visit became GPS-confirmed, photo-verified, and validated before it entered the reporting system. The distributor replaced reported activity with verified execution, improved real beat plan coverage, eliminated commission leakage, and gave sales leadership operational data they could finally trust.
The Challenge
The visit reports said the reps were there. The sales numbers said otherwise.
The distributor operated one of the largest regional field sales networks in its category. Sixty field representatives covered four states. More than 1,200 retailers were visited on structured beat plans.
Everything depended on those visits happening exactly as planned: Shelf availability. Retailer relationships. Promotional execution. Order frequency.
Sales reporting suggested everything was working. Beat plan compliance consistently exceeded 95%.
Yet sales performance continued to decline across several territories.
Retailers complained that representatives had not visited for weeks despite visit reports showing weekly coverage. Shelf standards continued to deteriorate despite reports claiming corrective action had been completed.
Initially, leadership assumed this was a coaching problem. Training increased. Manager visits increased. Performance reviews became more frequent. Nothing changed.
The Realisation
Then one key retailer shifted a significant portion of its business to a competitor. During the investigation, the retailer stated they had not seen the company representative for six weeks.
The visit reports showed six completed visits. Every report included photographs. Every report contained GPS coordinates. Everything appeared legitimate. Until someone looked closely.
Three photographs were identical. Several others had clearly been taken weeks earlier. GPS confirmed the representative was near the outlet—not necessarily inside it.
The company widened the investigation. Across a statistically significant audit sample, more than one quarter of reported visits could not be independently confirmed by retailers. Multiple reports contained recycled images. Others documented merchandising corrections that clearly had never happened.
The problem wasn't poor reporting. The problem was that the reporting system accepted whatever was submitted. No one had ever verified it.
The financial impact extended well beyond lost sales. Sales incentives were calculated using self-reported visit activity. The business was rewarding activity it could not prove had happened.
Why Existing Tools Failed
The distributor had invested in digital reporting. The weakness wasn't digitisation. It was validation. Every visit followed the same process:
Nothing confirmed:
- the representative was actually inside the outlet
- photographs were captured during the visit
- merchandising corrections had actually been completed
- reported activity reflected reality
Management wasn't making decisions using operational truth. It was making decisions using submitted data.
The ZealMint Deployment
Every retailer visit became a verified operational event.
The company deployed five workflows across all field teams.
Retailer Visit Verification
Every outlet visit now began inside ZealMint. GPS verified the representative was within the permitted radius of the retailer. Mandatory photographs of the storefront and shelf display were captured live through the application. AI immediately analysed the submitted evidence.
It validated outlet identity, display condition, shelf compliance, promotional execution, and signs of recycled imagery. Only verified visits became operational records.
Beat Plan Compliance
Daily beat plans appeared automatically inside each representative's schedule. Every planned outlet became a required workflow. Skipped outlets. Late visits. Out-of-sequence routes. Unplanned deviations. All became immediately visible to Area Managers. Instead of discovering poor coverage months later through sales data, managers could intervene during the same week.
Merchandising & Shelf Audits
Representatives completed structured merchandising inspections during every retailer visit. AI analysed shelf photographs against current planograms. It identified incorrect facings, missing SKUs, promotional gaps, and display inconsistencies. Corrective actions became linked directly to verified photographic evidence.
Expenses & Approvals
Expense claims were submitted using AI-powered receipt capture. Receipts were automatically decoded. Policy checks ran before submission. Duplicate claims were flagged automatically. High-value claims routed for manager approval. Performance incentives were recalculated using verified retailer visits rather than reported visit counts.
The Validation Moment
During the first week after deployment, a representative attempted to complete a retailer visit using a previously captured shelf image.
The submission never reached the dashboard.
AI immediately detected inconsistencies between the live outlet conditions and the submitted photograph. The visit was rejected before it became part of operational reporting.
That moment demonstrated exactly what had been missing from the previous system. Fraud no longer required investigation. It simply failed submission.
What Changed & Business Impact
Verified execution replaced reported activity.
The first complete reporting cycle produced an uncomfortable—but trusted—result.
Reported beat plan compliance had previously been 95%. Verified beat plan compliance measured 71%. Leadership didn't see a decline. They finally saw reality.
- Verified beat plan compliance improved from 71% to 83%
- Commission payments became tied to verified field activity
- Retailer coverage became consistent across previously underperforming territories
- Merchandising teams received trustworthy shelf compliance data
- Managers spent coaching time improving execution rather than validating reports
What the sales leadership team can do today:
Trust beat plan compliance
Coverage reports now represent verified retailer visits instead of submitted activity.
Protect incentive payouts
Commissions are calculated from validated field execution rather than self-reported visit counts.
Improve merchandising execution
Shelf compliance data reflects what AI verified in-store—not what representatives claimed they corrected.
Identify underperforming territories
Route deviations and missed outlets appear immediately rather than months later through declining sales.
"We believed we had 95% beat plan compliance. ZealMint showed us the real number was 71%. That wasn't bad news—it was the first time we had data we could actually manage."
At a Glance
- Industry
- FMCG & Distribution
- Business Outcome
- Revenue Protection
- Scale
- 60 field representatives
- across 4 states, managing 1,200 retail outlets
- Workflows Deployed
- Retailer Visit VerificationBeat Plan ComplianceMerchandising & Shelf AuditsField Expenses & ApprovalsCampaign Compliance
- Time to Go Live
- 26 hours
- from build to first verified submission
Platform Components Used
Ready to Verify Execution?
ZealMint validates every retailer visit before it becomes operational data.