Specialised optimisation for convenience stores

Convenience StoresSolutions

Inventory optimization built for fast-turn, space-constrained neighbourhood and forecourt formats

AI Platform

One AI platform connects forecasting, replenishment, pricing, and promos—signals flow automatically between modules so orders, prices, and campaigns stay in sync.

97%
On-Shelf Availability
-30%
Lost Sales
6-8w
Pilot Time
94%
Forecast Accuracy
Market landscape

Operating Reality

C-stores manage thousands of SKUs in minimal space, with fresh categories that turn daily and store managers who juggle ordering alongside customer service.

Every facing must earn its place, and every misorder costs margin or loyalty.

2-5K
SKUs in 150-300 m²
15-20 hrs
Weekly manual ordering
2-3 days
Fresh shelf life
Key challenges
1

Demand shifts throughout the day, and manual ordering can't keep up

Morning rush, lunchtime surge, and evening convenience each require different stock profiles. Weather changes can double demand overnight, and new staff lack experience to order accurately.

2

Store managers spend too much time ordering instead of serving customers

Placing orders before opening, chasing emergency deliveries, and correcting yesterday's mistakes — manual replenishment consumes hours that should be spent on the shop floor.

3

Fresh waste is killing our margins, but stockouts lose us customers

Sandwiches and bakery items have 2-3 day shelf life. Over-ordering means write-offs; under-ordering means empty shelves by lunchtime. Without the right tools, it's guesswork.

How MySales helps

How MySales Optimizes Convenience Operations

Our AI engine builds demand forecasts at the granular level convenience retail requires: The critical differentiator for convenience fresh categories — our system recalculates store orders when goods physically arrive at the distribution centre: Eliminate manual ordering while honouring operational realities: Purpose-built for the short-life categories that define convenience:

1
Weather and event integration for temperature-sensitive categories and local demand spikes
2
Day-of-week and seasonal pattern recognition learned from historical sales data across the network
3
Promotional uplift modeling with cannibalization analysis for campaigns across all categories
4
Price and assortment change impact factored into forward-looking demand signals
How MySales helps

Implementation for Convenience Retail

1

Phase 1: Core Categories (Weeks 1-4)

Data integration with POS, ERP, and supplier systems
Baseline analysis establishing current availability, waste, and demand patterns
Pilot category selection — typically beverages, snacks, and high-velocity ambient products
Forecasting model training using historical sales and external data sources
2

Phase 2: Fresh and Promotional Expansion (Weeks 5-8)

Fresh category onboarding including bakery, dairy, sandwiches, and prepared foods
Pick-to-zero activation for distribution centre-supplied fresh products
Promotional forecasting for supplier-funded and own-brand campaigns
Shelf-life management deployment with write-off prediction and alerts
3

Phase 3: Full Automation (Weeks 9-12)

Complete category coverage across all store formats and locations
Automated replenishment activation with exception-based management for store teams
Multi-format tuning for urban, suburban, and forecourt location differences
Continuous optimization with ongoing model refinement based on operational feedback
Impact delivered

Results from Convenience Implementations

Blyzenko logo

Blyzenko — 45+ Urban Convenience Locations

MySales implementation across Blyzenko's convenience network delivered:

95% on-shelf availability maintained consistently across all product categories
70% reduction in manual ordering time, freeing store managers for customer-facing tasks
40% decrease in fresh waste through shelf-life aware ordering and pick-to-zero distribution
150+ annual promotions managed through automated uplift forecasting with cannibalization analysis
MySales' tools have helped us increase the accuracy of regular and promotional sales forecasts, optimize inventory management and minimize the impact of human error.
Andrij Salo, Organizational Development Manager, Blyzenko
Chudo Market logo

Chudo Market — 30 Grocery Locations

Starting from 85% on-shelf availability with fully manual ordering:

97% on-shelf availability achieved across all locations
80%+ forecast accuracy overall, with 95%+ for high-volume SKUs
15-20% sales increase driven by improved product availability
70% reduction in planning time per week through complete automation
We are aiming for maximum automation in the supply chain process: from orders and processing to delivery to stores.
Oleksandr Udovenko, Co-founder, Chudo Market
Data & integrations

Data Integration

POS integration for real-time sales data and demand sensing
ERP and back-office connectivity for inventory and financial management
Supplier EDI for direct-store-delivery and distribution centre ordering
Warehouse management coordination for pick-to-zero and cross-dock operations
Weather APIs for temperature and precipitation forecasting
Event and holiday calendars for demand spike prediction
Seasonal pattern databases for long-range planning accuracy
How MySales helps

Recommended Implementation

Forecasting — SKU x store x day demand prediction with weather, event, and promotional integration Replenishment — Automated ordering with pick-to-zero, shelf-life management, and supplier constraint handling Promo — Promotional uplift forecasting with cannibalization and cross-category impact analysis Month 1: Demand baseline established, pilot categories on automated ordering Month 3: Fresh waste reduction visible, availability improvements across core categories Month 6: Full ROI realization with complete category automation and promotional optimization Ready to optimize your convenience operations?

Schedule a demo to see MySales in action with convenience-specific use cases and ROI projections tailored to your format mix and store network.

1

Foundation Modules (Months 1-2)

2

Advanced Optimization (Months 3-4)

3

Success Metrics Timeline