Retail / Execution
Driving Retail Execution and Sales
Growth
Global Beverage Brand
Driving Retail Execution and Sales
5-8%
targeted sales uplift
30,000+
stores with real-time visibility
1M+
products monitored
95%+
detection accuracy
Company Profile
A multinational beverage company operating across the Middle East, distributing high-volume consumer products through a fragmented retail landscape of modern trade, traditional stores, and informal channels.
The organisation manages a large SKU portfolio across thousands of stores, relying on consistent shelf execution, availability, and distributor coordination to drive revenue at scale. Operating in fast-moving and highly competitive markets, success depends on real-time visibility and the ability to act quickly at the point of sale.
The Challenge
Despite strong distribution, the brand lacked visibility into what was actually happening on the shelf. Execution gaps across retail environments—particularly in informal and fragmented channels—resulted in lost sales that were invisible to central systems.
Sales and marketing teams experienced:
No real-time insight into stock availability- Revenue loss from out-of-stocks and missing SKUs
- Inefficient ordering from incomplete demand signals
Operations and field teams faced:
- Slow, manual, and costly store audits
- Inconsistent reporting across distributors
- Limited planogram compliance enforcement
As a result, the organisation was not optimising the most critical moment in the value chain: the point of sale.
The Solution
SEPANTA worked with the brand to redesign retail execution as a real-time, intelligence-driven system. Rather than relying on periodic audits and fragmented reporting, the focus was on creating continuous visibility and action at the shelf level—connecting field activity, data capture, and decision-making into a single workflow.
This resulted in agentic workflows that:
Capture real-time shelf data through image-based inputs across stores- Detect execution gaps including out-of-stocks, missing SKUs, and pricing errors
- Translate shelf-level insights into immediate, actionable recommendations
- Synchronise retail intelligence with central systems for supply and distribution decisions
As part of this system, GOODFOLIO deployed NuStream as the underlying application layer—leveraging computer vision trained on over 100M retail images to deliver high-accuracy SKU recognition and real-time shelf intelligence.
Designed for emerging market conditions:
- Field teams operate through familiar tools (WhatsApp, Viber)
- No additional hardware or complex rollout required
- Workflows function in local languages with minimal training time
nustream.ai
NuStream
A sales intelligence platform for CPG brands that captures real-world shelf conditions and converts them into actionable demand signals. Works through tools field teams already use.
The Impact
The redesigned retail execution system delivered measurable improvements in sales performance and operational efficiency within the first deployment phase.
5-8%
targeted sales uplift from improved availability
30,000+
stores with real-time visibility
1M+
products detected and monitored
Significant
reduction in manual audit time
Beyond efficiency gains, the firm established a more robust compliance framework—moving from manual review to a structured, auditable system aligned with regulatory expectations.
Beyond performance gains, the organisation achieved something more fundamental:
It moved from reactive, manual auditing to continuous, real-time optimisation at the point of sale.
Beyond performance gains, the organisation achieved something more fundamental:
Speak to an AI Architect
SEPANTA designs and deploys agentic systems that transform how commercial operations perform in complex, real-world environments. If you're exploring how to increase sales through better execution, gain real-time visibility across distributed operations, and turn frontline data into measurable growth, we can help.