adeyemi@adediranadeyemi.com +234 816 273 5399
Retail Analytics · POS & Inventory Optimization

Turn Store Data Into Profit, Not Just Reports

Most Nigerian retailers run on intuition and Excel. I build data systems that connect your POS, inventory, supplier, and sales data into clear, actionable dashboards — so you stop guessing, reduce stockouts by 40%, and scale across locations with confidence.

Built for Nigerian retail realities
Works with Kippa, Square, Loyverse, ERP & Excel
On-site (Lagos) or remote nationwide
Pricing in ₦ or $ (Bank Transfer, Paystack, Flutterwave)
Lagos, Abuja, Port Harcourt & Remote
POS, Inventory, Supplier & Sales Data Integration
NDPR-Compliant & Secure Data Handling

Is Inefficiency Eating Your Margins?

These are the operational blind spots I fix for Nigerian supermarkets, distributors & omnichannel retailers.

"We constantly run out of fast-movers while overstocking slow items"

You're losing sales to stockouts and tying up capital in dead inventory because reorder decisions are reactive, not data-driven.

"Multi-location performance is a guessing game"

You don't know which branch, category, or shift is profitable until month-end reports arrive — too late to fix problems.

"Data is scattered across POS, supplier invoices & WhatsApp"

Sales, stock levels, procurement costs, and customer feedback live in different places. Nobody sees the full picture.

"Supplier costs are rising but we don't know where"

Inflation, logistics, and vendor price hikes are shrinking margins, but you lack visibility into which SKUs or suppliers are bleeding profit.

What I Build for Retail Operations

Practical, store-tested analytics that work for Nigerian retail environments — from single shops to multi-branch chains.

Inventory Forecasting & Reorder Optimization

Predict demand 7-30 days ahead based on seasonality, promotions, and historical velocity. Set smart reorder points that prevent stockouts without overordering.

  • ABC/XYZ SKU classification & turnover analysis
  • Automated reorder alerts by location & supplier lead time
  • Dead stock identification & markdown recommendations
  • Integration with procurement workflows

Multi-Location Performance Dashboards

See exactly how every branch, category, and staff member performs in real time. Replace monthly Excel reports with live, drill-down visibility.

  • Branch-level revenue, margin & foot traffic tracking
  • Shift & cashier performance benchmarks
  • Category & price-point profitability heatmaps
  • Automated daily/weekly summary exports for managers

Supplier & Procurement Analytics

Track vendor pricing trends, delivery reliability, and margin impact by supplier. Negotiate from data, not guesswork.

  • Supplier cost trend analysis & inflation impact tracking
  • Delivery delay & stockout correlation reports
  • Volume discount vs. margin optimization modeling
  • Procurement ROI dashboard by category & vendor

POS & Omnichannel Data Unification

Connect offline POS, e-commerce (Shopify/Jumia), and wholesale channels into a single source of truth. See true omnichannel performance.

  • Sales reconciliation across online, offline & wholesale
  • Customer purchase journey mapping (in-store → online)
  • Unified SKU & inventory synchronization tracking
  • Channel profitability & CAC:LTV comparison

Transparent Retail Pricing

Fixed-scope projects designed for Nigerian retail budgets. No hourly billing surprises.

Store Data Audit

Perfect for validating data readiness and identifying quick operational wins.

₦200,000 or $250 USD
  • POS & inventory data review
  • Margin & stockout leak diagnosis
  • 3 prioritized fix recommendations
  • Dashboard scope & timeline proposal
Start with WhatsApp

Retail Retainer

Ongoing dashboard updates, model refreshes & monthly strategy reviews.

₦300K/mo or $400/mo USD
  • Monthly data refresh & accuracy checks
  • Supplier & pricing trend reports
  • Quarterly inventory strategy reviews
  • Priority WhatsApp/Email support
Discuss Retainer

Most clients recover project cost within 30-60 days through reduced stockouts, optimized ordering, and margin visibility.

How We Build Your Retail Data System

A practical, store-tested process that respects your operational schedule and minimizes disruption.

1

Store Walkthrough & Data Audit

I visit your location(s) or connect remotely to understand your POS, inventory tracking, supplier workflow, and reporting bottlenecks. No jargon, just operational reality.

2

Data Unification & Cleaning

I extract, standardize, and merge your POS exports, supplier invoices, inventory logs, and sales records into a single, clean dataset ready for analysis.

3

Dashboard & Forecast Build

I design the dashboard around the questions store managers and owners actually ask: "What should I reorder?", "Which branch is struggling?", "Where are we losing margin?"

4

Deployment & Team Training

I deploy the system on your preferred platform (Power BI, Looker Studio, or Streamlit) and train your managers on how to read, export, and act on the data.

5

30-Day Optimization & Support

We monitor real-world usage, tweak thresholds, adjust forecast models, and ensure your team is fully self-sufficient before handoff.

Systems I Work With

POS: Kippa, Square, Loyverse, Vend, Lightspeed
ERP/Inventory: Sage, QuickBooks, Odoo, custom
E-Commerce: Shopify, WooCommerce, Jumia, Konga
Forecasting: Prophet, ARIMA, Exponential Smoothing
Dashboards: Power BI, Looker Studio, Streamlit
Offline-First: Works with intermittent power & low bandwidth

Retail Analytics in Action

Real results for Nigerian supermarkets, distributors & omnichannel stores — click any to see the full breakdown.

Common Questions from Retail Owners

What POS or inventory systems do you support?
I work with most popular systems in Nigeria: Kippa, Square, Loyverse, Vend, Lightspeed, Odoo, Sage, QuickBooks, and even custom Excel/CSV setups. If your system exports data (even as PDF or CSV), I can clean and unify it into a working analytics pipeline.
Will this work with poor internet or power supply?
Yes. I design dashboards with offline-first or low-bandwidth optimization in mind. Data can be synced in batches, exported to PDF/Excel for store managers, and hosted on lightweight platforms that don't require constant high-speed internet.
How long until we see results?
Most clients see quick wins (dead stock identification, reorder optimization, branch performance visibility) within 10-14 days of deployment. Forecasting models improve in accuracy over 30-60 days as they learn your sales patterns.
Do we need to hire a data person to maintain it?
No. I build systems designed for store managers and owners, not data scientists. You get automated refreshes, clear visual labels, and a 1-hour training session. I handle the heavy lifting, and optional retainer support keeps everything running smoothly.
How do you measure ROI for retail analytics?
We track: reduction in stockout days, decrease in dead inventory value, improvement in gross margin per category, and time saved on manual reporting. Most retailers recover the project cost within 1-2 months through better ordering and pricing visibility.

Ready to Run Your Stores on Data?

Let's Audit Your Retail Data & Find Quick Wins

Tell me about your store(s), POS system, and biggest operational headache. First call is free — no pitch, just actionable retail insights.

Message Me on WhatsApp

Lagos-based · Available for on-site visits nationwide · Typically respond within 2 hours on WhatsApp · adeyemi@adediranadeyemi.com